{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Application: A Face Detection Pipeline"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This part of the book has explored a number of the central concepts and algorithms of machine learning.\n",
    "But moving from these concepts to a real-world application can be a challenge.\n",
    "Real-world datasets are noisy and heterogeneous; they may have missing features, and data may be in a form that is difficult to map to a clean `[n_samples, n_features]` matrix.\n",
    "Before applying any of the methods discussed here, you must first extract these features from your data: there is no formula for how to do this that applies across all domains, and thus this is where you as a data scientist must exercise your own intuition and expertise.\n",
    "\n",
    "One interesting and compelling application of machine learning is to images, and we have already seen a few examples of this where pixel-level features are used for classification.\n",
    "Again, the real world data is rarely so uniform, and simple pixels will not be suitable: this has led to a large literature on *feature extraction* methods for image data (see [Feature Engineering](05.04-Feature-Engineering.ipynb)).\n",
    "\n",
    "In this chapter we will take a look at one such feature extraction technique: the [histogram of oriented gradients (HOG)](https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients), which transforms image pixels into a vector representation that is sensitive to broadly informative image features regardless of confounding factors like illumination.\n",
    "We will use these features to develop a simple face detection pipeline, using machine learning algorithms and concepts we've seen throughout this part of the book. \n",
    "\n",
    "We begin with the standard imports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HOG Features\n",
    "\n",
    "HOG is a straightforward feature extraction procedure that was developed in the context of identifying pedestrians within images.\n",
    "It involves the following steps:\n",
    "\n",
    "1. Optionally prenormalize the images. This leads to features that resist dependence on variations in illumination.\n",
    "2. Convolve the image with two filters that are sensitive to horizontal and vertical brightness gradients. These capture edge, contour, and texture information.\n",
    "3. Subdivide the image into cells of a predetermined size, and compute a histogram of the gradient orientations within each cell.\n",
    "4. Normalize the histograms in each cell by comparing to the block of neighboring cells. This further suppresses the effect of illumination across the image.\n",
    "5. Construct a one-dimensional feature vector from the information in each cell.\n",
    "\n",
    "A fast HOG extractor is built into the Scikit-Image project, and we can try it out relatively quickly and visualize the oriented gradients within each cell (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from skimage import data, color, feature\n",
    "import skimage.data\n",
    "\n",
    "image = color.rgb2gray(data.chelsea())\n",
    "hog_vec, hog_vis = feature.hog(image, visualize=True)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 6),\n",
    "                       subplot_kw=dict(xticks=[], yticks=[]))\n",
    "ax[0].imshow(image, cmap='gray')\n",
    "ax[0].set_title('input image')\n",
    "\n",
    "ax[1].imshow(hog_vis)\n",
    "ax[1].set_title('visualization of HOG features');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HOG in Action: A Simple Face Detector\n",
    "\n",
    "Using these HOG features, we can build up a simple facial detection algorithm with any Scikit-Learn estimator; here we will use a linear support vector machine (refer back to [In-Depth: Support Vector Machines](05.07-Support-Vector-Machines.ipynb) if you need a refresher on this).\n",
    "The steps are as follows:\n",
    "\n",
    "1. Obtain a set of image thumbnails of faces to constitute \"positive\" training samples.\n",
    "2. Obtain a set of image thumbnails of non-faces to constitute \"negative\" training samples.\n",
    "3. Extract HOG features from these training samples.\n",
    "4. Train a linear SVM classifier on these samples.\n",
    "5. For an \"unknown\" image, pass a sliding window across the image, using the model to evaluate whether that window contains a face or not.\n",
    "6. If detections overlap, combine them into a single window.\n",
    "\n",
    "Let's go through these steps and try it out."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Obtain a Set of Positive Training Samples\n",
    "\n",
    "We'll start by finding some positive training samples that show a variety of faces.\n",
    "We have one easy set of data to work with—the Labeled Faces in the Wild dataset, which can be downloaded by Scikit-Learn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13233, 62, 47)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import fetch_lfw_people\n",
    "faces = fetch_lfw_people()\n",
    "positive_patches = faces.images\n",
    "positive_patches.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a sample of 13,000 face images to use for training."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Obtain a Set of Negative Training Samples\n",
    "\n",
    "Next we need a set of similarly sized thumbnails that *do not* have a face in them.\n",
    "One way to obtain this is to take any corpus of input images, and extract thumbnails from them at a variety of scales.\n",
    "Here we'll use some of the images shipped with Scikit-Image, along with Scikit-Learn's `PatchExtractor`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(512, 512)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.camera().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from skimage import data, transform\n",
    "\n",
    "imgs_to_use = ['camera', 'text', 'coins', 'moon',\n",
    "               'page', 'clock', 'immunohistochemistry',\n",
    "               'chelsea', 'coffee', 'hubble_deep_field']\n",
    "raw_images = (getattr(data, name)() for name in imgs_to_use)\n",
    "images = [color.rgb2gray(image) if image.ndim == 3 else image\n",
    "          for image in raw_images]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30000, 62, 47)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.image import PatchExtractor\n",
    "\n",
    "def extract_patches(img, N, scale=1.0, patch_size=positive_patches[0].shape):\n",
    "    extracted_patch_size = tuple((scale * np.array(patch_size)).astype(int))\n",
    "    extractor = PatchExtractor(patch_size=extracted_patch_size,\n",
    "                               max_patches=N, random_state=0)\n",
    "    patches = extractor.transform(img[np.newaxis])\n",
    "    if scale != 1:\n",
    "        patches = np.array([transform.resize(patch, patch_size)\n",
    "                            for patch in patches])\n",
    "    return patches\n",
    "\n",
    "negative_patches = np.vstack([extract_patches(im, 1000, scale)\n",
    "                              for im in images for scale in [0.5, 1.0, 2.0]])\n",
    "negative_patches.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now have 30,000 suitable image patches that do not contain faces.\n",
    "Let's visualize a few of them to get an idea of what they look like (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 60 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(6, 10)\n",
    "for i, axi in enumerate(ax.flat):\n",
    "    axi.imshow(negative_patches[500 * i], cmap='gray')\n",
    "    axi.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our hope is that these will sufficiently cover the space of \"non-faces\" that our algorithm is likely to see."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Combine Sets and Extract HOG Features\n",
    "\n",
    "Now that we have these positive samples and negative samples, we can combine them and compute HOG features.\n",
    "This step takes a little while, because it involves a nontrivial computation for each image:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "from itertools import chain\n",
    "X_train = np.array([feature.hog(im)\n",
    "                    for im in chain(positive_patches,\n",
    "                                    negative_patches)])\n",
    "y_train = np.zeros(X_train.shape[0])\n",
    "y_train[:positive_patches.shape[0]] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43233, 1215)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are left with 43,000 training samples in 1,215 dimensions, and we now have our data in a form that we can feed into Scikit-Learn!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Train a Support Vector Machine\n",
    "\n",
    "Next we use the tools we have been exploring here to create a classifier of thumbnail patches.\n",
    "For such a high-dimensional binary classification task, a linear support vector machine is a good choice.\n",
    "We will use Scikit-Learn's `LinearSVC`, because in comparison to `SVC` it often has better scaling for a large number of samples.\n",
    "\n",
    "First, though, let's use a simple Gaussian naive Bayes estimator to get a quick baseline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.94795883, 0.97143518, 0.97224471, 0.97501735, 0.97374508])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "cross_val_score(GaussianNB(), X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that on our training data, even a simple naive Bayes algorithm gets us upwards of 95% accuracy.\n",
    "Let's try the support vector machine, with a grid search over a few choices of the `C` parameter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9885272620319941"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "grid = GridSearchCV(LinearSVC(), {'C': [1.0, 2.0, 4.0, 8.0]})\n",
    "grid.fit(X_train, y_train)\n",
    "grid.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'C': 1.0}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This pushes us up to near 99% accuracy. Let's take the best estimator and retrain it on the full dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearSVC()"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = grid.best_estimator_\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Find Faces in a New Image\n",
    "\n",
    "Now that we have this model in place, let's grab a new image and see how the model does.\n",
    "We will use one portion of the astronaut image shown in the following figure for simplicity (see discussion of this in the following section, and run a sliding window over it and evaluate each patch:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_image = skimage.data.astronaut()\n",
    "test_image = skimage.color.rgb2gray(test_image)\n",
    "test_image = skimage.transform.rescale(test_image, 0.5)\n",
    "test_image = test_image[:160, 40:180]\n",
    "\n",
    "plt.imshow(test_image, cmap='gray')\n",
    "plt.axis('off');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's create a window that iterates over patches of this image, and compute HOG features for each patch:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1911, 1215)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def sliding_window(img, patch_size=positive_patches[0].shape,\n",
    "                   istep=2, jstep=2, scale=1.0):\n",
    "    Ni, Nj = (int(scale * s) for s in patch_size)\n",
    "    for i in range(0, img.shape[0] - Ni, istep):\n",
    "        for j in range(0, img.shape[1] - Ni, jstep):\n",
    "            patch = img[i:i + Ni, j:j + Nj]\n",
    "            if scale != 1:\n",
    "                patch = transform.resize(patch, patch_size)\n",
    "            yield (i, j), patch\n",
    "            \n",
    "indices, patches = zip(*sliding_window(test_image))\n",
    "patches_hog = np.array([feature.hog(patch) for patch in patches])\n",
    "patches_hog.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can take these HOG-featured patches and use our model to evaluate whether each patch contains a face:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = model.predict(patches_hog)\n",
    "labels.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that out of nearly 2,000 patches, we have found 48 detections.\n",
    "Let's use the information we have about these patches to show where they lie on our test image, drawing them as rectangles (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1ofhDUeX4+BgnJyfY2dlBo9EQ8WU6naLVaokfhE5IbRkDZlYwGgK0A85xZmZnimJUsik2dDodEeHIacjV2DjewWCAs7MzCbWhcUHrVOR81IeA8/g9imvD4RCO44iOlUwm0Ww2pa96vS6GCtuamxR93r7pe/RvtmfMe02EnHfN3OePrfTbOmfT8rNtErZ+opAh6rl5i6r7jeOE5sKaLFlTIdNiNplMRFw5OztDo9HA0dERjo+PhbPQr0GEIYDWajUUi0Ukk0kx51JMIkIwr4XIQQsZr2mxodVqodfrYTAYyHMU7QjcFMeIxERkIoXjOOLZJzIyEkHL9L7vS380W9Nn1Gw2JawHAMrlMgqFQiTSxMFBXIvaUxu3sj23KNJocS2qLYwwjuOE2L9pmbHJ+WRz8yY8D4HiqFLc/zZlU49N968XinMlghAJKBLRQ04rWSqVEsDUsU6MHTs6OhJ9ZDKZhMSebrcrYk8ul0OxWJR3kgv0+/2Q3uH7vsSaJZNJuffhw4f4zne+g06ng8lkIqISCUk2m0Umk5H3UfRLJBIYj8fwfR/VahXpdBrvvfeeXK9Wq6hWqxgOhwBmol+/38fx8THOzs6QSCTw9OlTvPDCC7h58yZqtdqFPWQz9QgTJswWZb4GcIEbaHiM2nfzPeZv85B4IYSxvci0p0dhpg3YeZ9OaNLWGRNJTEqyqExsm7zN/2IqfqTSDFikY6/dbotC/MaTJ+K7OD4+Rqrfx8jzMAUw8TzA91HMZFAEkNndxYbvo9BuC9BS3KLlil74ZDKJhOch7zhwXBe5QMfgNd/3MZ5M4AUimUauRKuFu40GBoMBxuPxuYjnuki4LsrlMjKZTGTgazqdFkJxdWcHvu+LoYH6lKwfgG9fvy7P0GFLA4GOfzP1De6NqVfY9i0OkOeJZvO+X4bLsS0US2Z7Eb8v8sK4SeuBz5Mf2RbJ2IwTCfVYNPLqxC2KNIz7okgGhGO0CMypVGo2/gAQdPpwqVSSGDLtHNPP+QCmngdMJpgG/SQSCXi+D0dlXLJx/ERwxoiRe2l9i3M8OzsTjsNrokMmEsIhx+MxHMdBv9+H5/tIpVKoVCohLjcNCInv++JLarfbODo6QqfTucDdovbFpqMsupdROo2t76hri3IWtrlKv8k+9Xcz483GOXSLUur1wE2ksS2ibqbHXVMu838b5eJ3Hek7HA5xdnaGk5OTkOxOcQaAmFIfvPIKdnd38ZWjI0Ew3/dFXCoWi3j77bfx7u4uHMdBPp9HPp+XKOGVlRUA58lRVKyJcNQJCKxat5hOp+h0Ouj1euLJL5fLQt0HgwGazaboIJ7niXJOH482QtB5CQD9pSXcv38fk8kERd/H3c1NMYnf+eADEVc9z8NoNILruuh2uwCAo6OjUBxaFFCSs87LjeK987iMTcy29XNZgq9bLMJoeZydm+H0UdTeDNnnbxp4TWAm9bXltkQ1mw4kVNPYLLMfnWPBsJJ+v4/qv/7XGDWbyA8GuLO3h2QyiWw2i6XT0xnQOg7KgUj2WiaDwWCAPzUaYTydwptOAd9HttVCwnWRTKVQ2N2dvWM8xlhRfM45wTUKuIpL5FAWMie4zjn7AVeimOT7PhwEmZ6+Dx+AN53C9zxMgznC9+Ey3Mf3AceBR8cn1zP47vk+TtPpGWKMxzh59EhEOr7369vbEsVAzuS6rnAkWu3i9k8TPBOQNdzF6bm6RXEpEhj9Hv2MTZyztYU5jIkYz4Odtr4JNOZvbPPC9vmcbWy2uCV9D/WT8XgsZuJmswm/0RBdxXVdOK4Lz/cxDQDT42YirGgmAmRCQDnTga7i+z4SrgsnnYabSMyAkhw1GA91jeAf2eBpgICOCkLVeoRjWQ8EvycSCUwBJBwHiWAOweSBQKEfB/1MA0QOUWAAiWQS2YDb8bdMOg0HMx8O1zGdTouu9+jRI1y9ehWJRAJbW1syvjhR2kbYooBf5ujY4740EprHqZhW3Sg9KKpdupCfOehFZUAb5ppUJIqN2jgDm8nSF8mJ4Hso+w+HQ3Q6HTSbTTSbTVQHA3i+jw9u3xZd4/Hrr+POBx/AcRw8fv11fO8//aeYTCb4pc9+Fk+fPsXh4aH0Ox6Psba2hhs3bmBzcxPdbhdLS0twXVdEGf1umnZpHs5ms4IsOr6M4hkpOufLPxoF2BiWw3v1eTdUzk9OTtBsNkNGjdcePwYAfG1jA2/v7SGRSOB3rl3DZw8OkMlk8FK7HZIGtCHF9320Wi3s7OygVCphfX39Qg1nGyLo3+bpOrZmWuLM/dbjs0U9L9ou5bg0/9eAauoN8/rTYlOcnjIPgUyqZRMFbYoldZbBYIBOp4OTkxMs/dt/i/Jkgje+/W14ALZ3dnBzZwcugLtf/zrWj44AAG/+6q9i5fgYvu/j5a98RRRyBzMKTI6QDKxgkyAQ0nGc83v0uAKKz/E56jr7IzfxMRObZL6KyDhcm6APx3VnfasxOYF45zjOjGMqbkcOyv9/NJ9H6ewMDoDvf/gQtX4fbiKBTCYDbzrF7UIB3W4Xw+EQX1lbQyK4Nh6P8eDBA2SzWbzwwgsh3U+blW1m4HlcaB6Qm2K+KW6ZMGveM6/N5TA6n4IvNSdgE39MsUgjhs1AoK/HKei2/80FYL9RjQpvt9vFwcEB2u022u02Ur3eLGo4sIZNJhPA8+ABGAeWMpmTczGyGlBAq9bPcRxMg2fdgJtAz9G2WUH/CVJxjRSJBBABcLwnWARAUVJXj4v75bpwiJiBnuMbHANKpwJmITMMFM1kMqHqNjQoHB4eIpvNYmVlBZ/73OdCzkyTC2oxySSgWrzi79rQZMKXXnudnmEaTHSbx710W5jDmOJSlJIU93LNGs3fbVzAbLZ3RiGWaRkTKhp4u7vdLnZ2dnB6eoper4fhcIgre3uYTqeoBAGMx7UaskEy1ziTQWY8hgPgrFRCQmU3ep6HcTJ5zhkwOzzUC96rOYZnqUGgJiCI4gTfBWDPJ3Z+n+vC1eKG583eFXAR3+jXi9gb3/fh+T7SgR5DruX7PrLBPM/GY2QCKxjbZDLBnXYb4/EY7wRRv7QqjsdjNBoNPHz4EG+99RaKxWIoWno2zLAUsCjgRu2/eS2q2cS/OHFQt4V1GJv4ZZNDbd/187YAt0UWKwqJFkEercySszQaDRwfH6PT6UjUcUgECgCMgOgFgGPjKiFLVzBXJ5GAY3BnjmWq/B+AAmwESnwiMUOIYBzBi2fvchy5n5YzjtkzFdhgPrxuttA+EnCCfvkbn5sG/iGRKoI+Eq6LROD7oZmZXGEwGGBvbw+tVisU1WzChtZtzFSFKBHM3HebO8Kca1S7DNFf2Kxs/m5O6Hma1nnm6SrmAtm4zTxFcjqdotls4ujoCAcHB+gFIhhwfmASAJzm8wCAv//yy1g6PoYP4Gf+vX8Pf/63fgvJZBL//I//cfzEz/wMHAD7L7+MVDKJ3/4P/oNQoCIRk9yLdcV0qAsAsdQxAoAF9xiKz/KvnE8+nxfAZMyZXovRaCSGAtYRABByZtKJqkP+U6kU3vrH/xjD4RDlgwOMhkP89VdfxV/65jfhA/i/v/oq/vNvfAMAsBboa9+5eROvv/sufN9HJpMRP1ahUJBxHx0d4cGDBygWixJHp/dLi+Cmch4FG1GwEheer9UHU/KYpwLodikrmZ6IOUkOOk6BWsSLby6gjbIsovjxXn5OJhOcnp7i4cOHaLfbkk1Ic+hoNMJSo4HpZIKtZhPwffz+L38Zt46O4DgO/uy//te4ubcH13HwH/63/y2Wd3fhAKg/ewYAuPJrv2ZVxkl0RMYOxidU33Fm0QGzBdITnc0lwomr+7EZD2Qt6WPRQKL61y0TxIrRL/M3f+u3cC0QSf/8b/0WXg6u8z0v3ruHlaB0LUNkaATQoTEffvghNjY2xGkbR2y11TNKrI6CQY00plHBhMvn1WMuFXwZ9/uiyLLI/aaSp1vcxKL0Koa57+7uotlsio+FVFHCTqhc6+cjxklRh3oBHYN6nFqskTERaYCZuOX78IL/YXq8Zx2drwcUsul7gn58NUa5Vym+AjyBIUNEUP1dzYFz8gFMDPHSdRwxfSeC8B4AEvWsk8+Ojo5wcnKCer0eSkE4X+LwfvPTjOLQc9CIoK9FwdPzwpTZFiqCYft/Ec5iWsZs9y8ijun3mSKYyW1sOg0dk7u7uxgMBmL+TKfTEmA5mUxmTkTfRyeVgo+ZSPbpdhuJRAI/98M/jP/jL/4i3EQCf+8nfxJ/6m//bcBxcLCyAm86xd/9kR8JhbcMBgOpPtntdiXpK51OY2Vl5TyQMqgSQysOSy/xfyaYZbNZ5HI5ZLPZUB0AipK+7wshYIwaP6ls7+3tyTvb7Tb29/clTWA4HOI/+8pX4DgO6oMBxpMJ/ujmJv6Hhw/heR7+ZKmEX2w0AMdB3Z+lO39lbQ0/fHiIJM4dhCzwQYui4ziSBrG6uorl5WWrrmuKSOTKNmunDZGi4MfkQPo33yQOmC8FzS1GzsGZgB0FuPpZPmcLUbEhkW6aLduiDOLerf+fTqdot9s4PDxEO4gWJvAxh4XhHbV+H57nYSUQQ/6jDz7AZrsNx3Hwx3/lV7B5fAzHcfDHfu7nsBTkgNQCkeQv/+zPCnXWVJsUmt+9ANhC4S4WamnOx1EinXAUPqM4hTyDsFNTrwe56HgyOQ+F8TwUR6MQh/n7z57h5ngM+D7+u0YDtwLdheP4gUYD1X4fTlCOluKQrorjui4ePnyIW7duYXV1FdeuXQsdZGWdq/rd5k/Tp13zNxPgo3ReW4YtPxdRGRY+4zKKPdq4Q5zT0CZLRnETvtfGQnU/Wu8xEVtH0ZK6MqxeF+pmiq34URwHqSAEBACSVCbNTQ5+c4NPWpkEUQLgEqoZOAs9nAMe32vOS9ZTi1WYmawp2okVLHgnx6epqLYg0QfkTaczsUojLMLILoTKcWbhMINBaI79wGiScF1ks1kxNlSrVSn64TgzQwWNEFoxN+drI6RR4pLWUfyACJHDy7oZ+pBJoG060by2cF2yKPZoTmKeQj7vWZsFg9/1eMwxmvfwfxaJYFagDrjkvaazbJBKwQXwjz/9aXw2UOr/3o/+KP7zv/t3AcfBz/2xP4a/8F//1/AAtCoVJJJJ/IM/+2dD79QZmsAsEpjhN4PBQCry0wtOysyMRp1JqcUuimUslMHcF5Zp8jxP0o5ZA43lkXK5HDxvlsNzenqK/f19nJ6eotls4uDgAD/1pS/B8zwUhkNMPQ//8Y0b+McffQQHwF+8ehW/cP8+AKDo+3AdB/92aQl/+NEj4VCcQyYISAVmQKs9/fOaTVqw6Svm/zZgj4qC5mdUpEpcW8hxaSKNTU+IGnRUn/xuKnr6njgKMO9dpCiU15vNJvKBuVjfw+BI3/dnIgmASqAL/MFvfhP1Xg8A8Mf++T9HrdWaff/5n0chcOLlBwO4AP74f/lfhueJcysVAPHWe9Op5Ls47sWwIBFjnfPKMEBgdfO88xCbQKSzRRoDkOBLz/eFa0rRDCryqsTT2XiMlWBOHM/ffPIEa0HUw587PsaScrqaUgS9/8wcZb4QuTeT5mx7NE88j2o2eJx3vybCZgrKIkhzqaoxNoC1TdRki0Q2m4nPNsCo99gWl/eY4h7fyVyQ4XAo1JbN8zwxAEwmEyToWAuARMvz8M+tZ+NArufvvjkuJ/DUB995zQVmYS2K0hFxaIbWyMKWSCSQwHmymOO6cAMRmekGwWKfh7xwXXCObDpX3/O8WT/BfUTMKIBJ6Li04H39fl+SzTqdjgBvKpUSrse1PTg4wNLSkuxLlNXU3Pd5AG0jqlwXk4OY37UepH2LcUjzXNHKevBRnWvkifLAzhuc1k1MUU33F0WRfN+XTQXOz2X3fV+yH6nPlEqlUKyVA+DZ5ibw3nsAgINKBXeDayfpNG4F36cBwA8U93JwHqvFRsqu/TNAAIg6lIXr5ZxHFTOL03FdCZbUnMRxHDiJxCzujEDAeDAgBBDUYabT6TmXCtYDrdbsnmB9E8kkkvyeSCDjnCvOnu+HfCoaOJmsls1mUa1WRY88OTlBo9HA+vp6aI/MPY3aSxNeTIAHLhJt85kopFyUqy10oBI7tukwURzC5nE1uYBNHItr5gTj2Dj7pKjA/3WlSJ1bz0J2wHmQInNAgHOzqY8gMQuAucR6fUJ+GUdZshQFlOsBtXcwiz/zALj+udPRC665QciNH+TI+LpP3wfU2S4690XEQ7V+nufBn07FoGBa7IAAmbkWgR6i1yiXy80MB37Y4OL7vkQQ5HI5sUS2Wi0cHx9jZWUl0jBk20uNGDaEsfWjx2LTg6PePa9d+gQy/WnDUP27jfqbv9nMgPO4TtQYbb9RTudvrNN1dnaGer0eKhAumxjc+/DVVzH91V+F7/v4h6+9hh/89rfhex7+6t27+IXDQziOg72VFSQSCfyDP/2n0ev1QoXD2XRNYyIqFXS9Dm4QwMi6yNlsFsViEZlMBsAMCXO5nIgbrD1Av0wmk0G9Xpe6yCwz6/t+qKIlsyNPT0/FxJ1Op/Hn//v/Hp7noTIawQfw1+7exS/+1m/BAfArP/iD+AP/8B/O5hMQj3w+DzfQk9gPG1OlmWQ2Go3Qbrfx8OFD3Lx5U+63cQD9v+YUWl+ZR7zN+xaBGxtCmW0hP0zchGxilc2yYYZfx1k84pqmHDaENo0HVHR59IM+KFUnYjnOuY+D/RaLRSQDIL/9/vtIB6LdH3n3XaSCyOB6pwPHcfCFf/EvZnFc4zHGgWWMohUVcMc599J7yh8SkuNdF16gPCeCCGhdVFxXg2HftPr5/syK5gbh/91uVwpRAEB/MBDuOQ6KEZKLJVxXECUTrMkfefddZALEv/rNb8IdjwHnPOr54OAAUxWUSguZLjzoOLPTAHqB8eTJkycYDAbWyp02AmtylzhLrRkSEyXyE3b0fVFxk2a7dCE/W4dRCnyUcm8TpWxIFjWOy1hUeF6K53lSDhU4P+6NSDQajeD5vugLAISyAzNORfHH3GQiBoGTCrZ+1nFmuTDUORhVoA9Z8gFAV4ZBEDSpxDumVHMOIu4prkZTNO9nPNokUNBFNJ1OMZ5MZn2n0+G4NGNtaSaGAioaDpxgLKzWOZlM4Lqu5B0xIDSVSknNNI3kcTpEHLLYntOiodmHSWD5fhNx4tpCOf1cHBvS2JT/eVhq4zJxVrNFdRzbYtGf4TiOKPo6DIVh/TI/LcMnEuIY/NfVKv4Ps5fg/7m6ip84OYHrumjX60gmEnjnx35MRJ2joyP0+31Zl36/L6ViqTMRiFiCVR/ISn8MTydjAT0AYvHzAzGIgEdESqfTqNfrKJfLaDabIQA4OTkJnSdzenoqfdVqNXzPs2fwPA/VYA3+zuYm/mgQyfCr2Sz+SsTeOOo7HcJcC32SMyO5GaGtzzi1edkv6FzG+00Ca9NtzXvN33SCZJT4ptvCRTDMCZifJoeYhwDzJhNnzdD/hyi0hfswZkwXw6PMzhgz/h56P87Nx743Oz+Flqx8Pi+iFSvD0BpE/WNnZydU/1jHVjE3hOILEcJxHIny5eGxrJvMlkgkUCgUQkX8ut2uiJq+P7N4kSMQYAnELAfLufMUgQtA5ocjrAWguVfqfiIHj0F3XVeKC2pkJ1IzBUBnRJpwoKm9KS7FcSOzn6j+NaGJE9/M9rErX+pmKvPaKqaxP4qV6u/Pw7F4r15Y1jMulUpC3YBzYwCDMQuFwux59b7jIBeG8yXw5PP5GeAEOofrulKh3/M8KT7earXQ6XRE8abYQoQFZmVXCWg6cJPIZpa1IpDpo/54ZMV4PEYymUSr1cJgMEA+nxezOte80WgIV9GIZosi1nvM+ek1Z3E/zz8v1k5xrBFU3iGiETBpKWN+jH6XNgDx3dqqqeMaQ3pfhHEpiqvwT+cH6Xc+t9JvE50uIxqZCxw1kCjuwPfFLYZ+1taH67pSs1jL1rQaaSDm+9wAqa79zu/MLEK+jz/19Kkow3/5299GxvPgjMeo7e/DdV186m/8DVGofQTUdDKRWmTwZvn1OtXYcQInZWBpQtD/OHgn/HDgJp/TAZPTyUTqDUwDpyZ3KJVISB00X1FU/el5s/oEqaMjrAQWvnTwrv/06AjpYEyfazbFJzMNDA5ijEAYsHXVTTo2ea3X6+Ho6EiOyhAd0NIIxFEK+TyYihLNbIaBRSMGnuuMS1M0ihuoaR27rNJuU9biZFSTbTNUo1KpiF4h4SBnZ3KmSmg+wedwOJTvoTFo7uqc+yVcFYWbTCaRTCQwSSaRZGRAAGg6rz8ZWMMI1HCcmTVKNY1MwMwp6vk+vMkkbNnzfbiB5YkBnhQpPX8WnQzM/DxSYw0AAsTz/YtRz3GNiKzXlESJpnSmLnDf+v0+Tk5OMBgMQnu5iNIfem/MM7qZIjw/TYRZVKKZm6Jsynm2Tm3s0TaZOPYZJ6pFvXcRmdVxZg62crmM09NTUYx5nSKOPmGYn/92aQl/Jnj/z169iv8wCMT8L27fxpe++tXZiVxbW0gkk/jgr/91cYSy4DcBiAGSwPnR3+12WwrgVSqVUJFwfewE9Q8+C5yfosyU6+FwiH6/j6OjI9mzyWSCk5MTqbk8GAxwcHAgQZo8UInvSafT+LXAHL4ejPVv1Wr4owcHcBwH/yKXw/85WBci4qNHj2Y+IJwfvsRgSzotWdxP+6V4urTeY73XWnfhfvC7NlebMDMP8E0EidLRn1skM19mdroICzNbnJhm69N23dSlbEiodSa9yBQX+D8VVuBcf0kEIs/rT56IGPKTjx+Dfv+/9sEHSE8mcKZTlHd3AQB3fuqnzq1vytzr+WHZmGbrqYoWSNBvEehEQqA879ykTGKjxikiSxDQycQtBPedjceYjMeYBkjX6XZnCDidYhwQCOESOEcUahZ/4vFjpGaLiTefPgVV9Am55WxSSDjnJnV9XiajsROJBHq9HjzPQzqdRqPRmBU6N6xj3DNbZHyUVGFzfOtnuJZxDkwSt0U41sJm5ahBRz1n3r+oTqOphe13k6rEybHm83rhtN4isrzRJooKThWFDDq8OL7gNwY7EhBpZXIc51yPUaExFxAtmL/vunAoWytk08TL9zxMEwkkPA8J18VYiWmpZBLjwC9C48FZwHFGgSWLSOlb5q93YGLOH4EzNviuuR/FHQJjKpVCNpuVPnTRds5D7/s8fSJKLDfvsYlibDbV4WPrMLbBm7qIje3p+/TgTOuGblEUJA6pgIsTNZ8xZVWad4kwBCZboepfKxbxfwm+/+3lZfzHBwcAgP/r7dv4/7zzDlzHQXd7G47r4v5P/3RIFyIFdRwHxWIR+Xw+5AHXlFX7Z7S3mk5V+iy0qEckp8jFOfR6PVkDHgLFWK5msynHDO7u7mJ3dxftdhudTgfdbhdf2t8HAFwNkOf/USrhPw3M07+s4uqg9pAEgePhvDSCJRIJMbr0+30ROU0OoSUIGzLZYMN2PU7cIkxw/DaR/7l1mHnikY7R0oOPUupNMYmDM7mKrc+oe23387rneaGgv06ng06nI34C1jAOLW4gjvn+7Kg6gvXnmk35/r/p9ZCkdSnQBdK//MuzGLXxGKMgWpfO0Y7r4izQb+iQpL6TTCaRTKWkrpleP8/zkAr0Eeo+ACRr0/dnFj3GI/ieh4oXTpCjiETdZTyZYOj7aOXzOK3XceL7aE6naJ6doRT0Q9Hr9wRlYgGEdA4A54GngdhJ8zyRv1AowPd9MXVnMhnx0bBGgYQLBXtm7sU8r3sUsdb/a7jRxN/MJtbw+NwIo5uJjTbs1L8TKeJEpigFP0oMNMUwUij9jIk8TGTq9XpotVrCYWjy1CH+vkIWIFxqVEcua0ci7+12u8IFioWCZEXSG0/94uzsTPwmrjtL7a3VasjmckglkxI+Y8rmITncJkL65yZYck3fD5t46bBksGYqlZIjLKrVKlJ7e7O+At+Mnmen0wmlXyNYQ45D+3qYrqwPq2XITDKZxNLSUqjQhxlFMg9o49SEOMWdv5kOU4ZILSLez7WSmS+P+q5/M5HlsvrGvBbHwWzjIrBpixMBSR/CapZY0gDzWysr8B4+BAB88+pVeO++CzgOzopFAMDBZz+LQqEwi+AtFJAol5EOPPrT6RRn3S7GgwH6vR46nY6IbKlUCt3lZZTLZeTz+dBJyyQGutigRgIAAvwkCqziqf0fjOliWM1gMECr1UK73ZbDozzPw9k778z0rgD4f71SAYIC7Nowwk+OyzfWnOIh50eCQdGxWq1KUT/NTblXNpHK3F9T8jDviYMZW2OYjh6LrT13ApltIDaOEaW/XGZiZrCjbrZFNO8lAgMIARspHn83x1QsFkX0+KFOR0Syz7dacKdTwHGQDg51ffmjjyTkRZc3IjUrKBO9DvgcBCWNkE5jmskgmcnASadnpWZdF+lUSsLpqZc4ej2CzEbv7AyTZhOjfl/mkkgmZ1megZM1C0hqQ6HfR7nbxdl4DC+grqyjnPBnxorfc3Y2y8jk+nLNAThEZHdWzJxIzvg8HSLDdzKmrFariZdfA7zppIziNlGAbSOe+ndTpNfwofuKcqQCl0QYU+6Luq4RRMuQcTqROcE4thv1vC0piaEx5XIZuVwOvV4vlFrLcSeTyZklTPWpxTDNxkulknx3AAmP4XtJUSUoMvD4a8WY99NnQQVeW/HIndjILbRv7Gw8xllQW40iFgkEA0+1YYQcajQa4fT0FMfHx3KEekgnRThcRs+fotkkKNPkqNgx7rU+ZpDV/ZPJJMrlMtbX1yUUaazWRXPTKCVdXzOJYxR8mUTVfFbr1nGiIPAcHEbLgTYLhU38igJ42+BMq1eUhYTXbN/1c0zEyuVysqnMN9f3iilUvYdxVsDMicnSSE/ffBPeL/8yHMfBWQCgx9/3faKv0PLU7/dniVzTKTyV+8GKMTQAFAqFUAR1qVSSqi9MMdCArudAAqDNtATYTCYjXI+Iw7menZ2hfXKC9vExTo+OsPPkCc6+8x0AkKLmX93YAN5/P3YPHefc3K2NDdpapkXKQqGAUql0fhiufx4xrAmBud9RxNUGEzZ40Nfi+vtYOgyb5hy2T/NlNl1F/2ZyHFt/cQOPoiw2pKHnmQf9sNKlVqJpXja3QUfaaspbLBbDfpiAMvb7fXS7XTx79kxC54fDIVqtVki0WF9fR7lcRrFYRLFYhOd5gkAUu8zx6WBMzmM0GqHT6Uh2JQFOIx9zY/gpZ2YGSJXP51GtVtHr9WYFOlTTOpzjODB3RJytOCegOt+IzzFRLJlMiv5imsdNDmNrcSkAoT2KUfhtzSbOR7W5GZeaVZmAuihQ25oWEfT981iieU8UK9XjIyVn8pJZPUWPRRfCaAVllYBwMhlFMg1Ew+EQT58+xdOnT3Hv3j1Mp1Pk83kkEgn5n+LHiy++iBdeeEG4ab/fR61WEyQyKbW2JFGB5xF7DPchwtJsTl1C+ztY86xQKAjgci1KpVL4HExjzqG1hVL0g/ViCSsTaVzXRblcxnA4RKVSwfXr11EqleA4jqyHNiOb+2Hqnza4ikMkk1DztwtzWpBYz41WjkOYeS+P4jhRSlzUGOJ+i+JybDoZi0o+wzWoiGp9LMqk6XmeVLfMZrPnSVPurJILxTCeWfl93/d9WFlZwXQ6xdOnT7G1tYV2u42DgwO89NJLePHFF5FIJLCzs4N0Oi1HU7A0kQYiAGIWJmLQt9RqtUR3SKfTqNVqaLVa2N/fx6NHj3AUWLlyuRyuXLkilT/L5TI2NjYksY1ArlfPrCMWWme11vSt0FTPdAbHcaSPUqmE7e1tfPaznw3VgtM6S1TEhenv083Um+Mspfr3RTmK2RYuRm5NMrLcF9UugySL9BfVl02GpSPt6tWr2Nvbk5gmJm/p0BFNYfXmmZ5rLaL5wWYVi0WpiJLP5wXwq9WqpEfn83kUi0Upyn1yciJjZEKZBh7tT2HGIr3lLHhOZyHzcqbTKTqdDqrVKp4FAaOlUgnLy8uS7XlycoJ+v4+lpSXRmYKFk3nKAUi2Ncd5gp0T+JO0uKujHihylstlVKtV+V1zkiiLmG42mDDj0WR8FlNzHOGPetZsC1eNMQd1GYvXIgPh9UWU/HnIZHLGZDKJYrGI27dvCxfQTkWhbMb4NJJo5DEdX44zy5SsVquiE1AfAWY6y9HREVKpFFZWVkQsAmaUfzKZhKrz831UmKljEWHoS6Eljhw0kUhI1RgmhxHoK5UKNjc3USgUhDsxenk8HmN5eXk2FzUvMwvVbJPJRCprai7F4Et+J9c0k8Z00wgTxSkuI+ZHWbwWsYQ9t0imX25+jwNsGxbbrkUhgn42KhrZhszaPKjvS6fTKJfLeOmll/DgwQMcHR1hNBqJOZcmXXMZWRcZQEhkEYQJFGfP91Gv10NiBq1Gk8kEn//850NJa9VqFa1WSzhOKpWSeDOKi1wT4XwBtyFn4dg2Njbk+7Vr17C1tSXpA++884548be3t8XIkEwmcf36dVk7OjqFKLouEDgdbesdaoqLk1v3Aucs9REaH0qlUqgoCd+vuYS5h2bcnW5R4hj70Z+258y5LUKMFxLJbLpI1ADN+2xs1va/uWBx49H3mdTIhkj0OK+uruLu3bv44IMP8OGHH6Lf74unW+fEy+IoCptQJV5lo9R78vl8aJO0GXd9fR3T6VQ4A8UrOvvoKyIwmfMXf05gHaMiT2TIqDi1druNTCYjRoWDgwP4vi+113TZ3GKxiHQ6LcXC5UhyzEQuzUltNQ88L0hkU0jBIwm1Qk8OWCwWZX46yFTvrW3+UXqJacIGzgmbCQP6ecJblOEprn0sT38ce7NxEvP3qHYZhWwRGzoXLZ/P49q1a1Jg4vHjx2Hv8qwTax8aYELvCcL1zQr1+gwUAjyvj0YjoaxEGuaTeJ534dxKchqt/HIcjuOE/C0AJCmNXIWp2Pl8XrhJJpNBuVwWszurWALnepmec2j+5h5455X76V8hd6UOt7S0ZK0LQCTRwG/CVZxUI2OIgEMbUun7L6v8XyqBbJ4OYYpY5v/6Ht1scuo8+XOeVcRsDNu4evWqUJfj4+NQxRbEzC3KYuQGz1Jhd5xzP4qeBz8JWNrxq0P+bWFAWs/iPIhcvJ/WQDZ+L5VKofQFzrff74sCLrWlNVAZCGPqbZwLcB5fZo6BHGRlZQWbm5ti6LDBEue+CHLYms26ZsJqnI68qH58KbMyf4t7Oe8xRbEoLmOKeboP8znznnk6lf6dY8rn87h+/Trq9Tq63S7ef/99HB0doRNUsIxSejUguG6Q6KXWRwM+Q1posqZOQ0oOXNxgHQRpzl97y1mzWEceOwFwa3GGIhutX4zIHQ6HEiTabrdFPKHPSFsJU6mUiGf6u7k+unAhf2P0cj6fx2c/+1nhdnFEztRnFmlxUg771xyba6Mb12ARg8ClipHzu03Jirrf9r+JLFHhMDZkWoTyzItMoBHgrbfeQi6Xw+PHj/HgwQM4T55E9q+PyQAuiiU6dkp70pkvr+ej14lJXlrkMpGF5lptZmb/DHR0HCd0RDnHpB2DnDtbOp2WfmnOhvG8+V3PWwMidUDtFC6VSrh27RreeustrKyshNbBJKia08xrUdKKLcdFNxtcRRm1otrC58PYBhz32zyFahFWaRuP/pzH5Wy/cU7pdBpbW1uiT/R6vRlQqHlo4NKHMYXGjnMg0uNjOEgURSU1JRJILJtz0WCiEUUrymZ2pp6jfod+zuSE5FSci97HWOA1iCb1FVrbePjtK6+8gvX19Vnag7tYGrBe58vez6aRPQ62NPJ+bA6jO7R1FsdteN28N+qeuGta1Jg3KTPxyrSScNMcx0G9XkcymUQ+n5/V/v31X58B1dkZfISjdWu12oX8dd10SIc2hZpIA0C87b7vh/JEALvvgxuqkYNcgToT++FvfL+2SvFZWui4FgR025wWaV7wPEU+13VRqVTw4osv4gtf+MIs7EZHO1tgIU4K4SfnaoMV4YAGnJjEx0ZsTY4Xh2ALKf02yq5fYA7G1mw6kB6sKY5E9TXvPZoVm/2Zfwzp2NjYgOd5yGWzOAsq1CcAceYBM8efdRz+rLYXDxGiiVe/24yZ4jVtoeOYk8mkUGuWndWxYXrtGZHsOOfVWtgv15XPa91Icxitb8GPFnFsTe8lI6jpFP7hH/5hvPnmm7h586Ygsbl/nIcZ2xfV9Drxf92PKfLGEVdTJDSvRbXnNivb5Mh5ylfU71HcxVyAqHGYoo7Zp9mPDiqlPkMxyvd9OaX4ypUrF8NC9Fg4X//8fBQiP/8nQOq1MfNatC6gI5VJUU1uyT7pmzk7O5PftDWP4yH30lmFFBl1EXQTiDTwav+GD8Dxw6WLOp2O7MXdu3fx2muv4erVqyFk0eMyEdjcv6g2D8bmEV1Tb7LpUc+NMIvIdCaniBoof7fpMvPeY16fd2/cNb2YRBz6MBLJ5CzUI9i0ra0tedZmVgXOdRjTd6JFIVq4NEehCGPqI0SEqNg9chvXdSXEn05LIpcmCBwPOa/eI32P53kXdBgzKNVs02lwEhpmHDabzaJUKuHVV1/FlStXxGxt7oH+5Jz4jkX1lihJw4SxKCSIGpftmm6Xqhoz77p+kU1etCGMqeguwlZt751nEdH3mJtGJTWZTM58MUEfL774ovSXz+dniq5tIYz3k3ORoicSCTEba86guQk/9VEQtjVlJqbv+1KZnyIWQ2uIVBoZHMcJ6SkMB9LBnSI1qHv4PTS/4HM8HofM0CsrK7hz5w6+8IUvoFqthk4lswFu1HfTF6XFUFNHNRHH/K6fs4l7cYhja5d2XGr5O+rlNj2Fn5yELWRh3v82xUwDRZw52VSCrdQJM1GFHKZer4sIduXKldkYcDH8Ar4fisWyiUHD4RDdbleSzLT3XVuziACck+ZO56/zRdGnWMcDixiSowsVar3F1i8RmNyCLS6ZCzj3taSSSXzmM5/Bm2++iddeew31ej0k6mlDS2i9IziBLdIhSk/W1kGT+Jr9RhF02/9R7VJlltixOVnT4mA+E9VX3O/zRKtFx2vTZTTyGA/NPnDurGOjngNDzqdIRusNgZnmaiILi+WxNpoWo7SXX1Nl6kCaQGmOos+OmUwmaDabErVsZldqEdScv0np/dmXyGhtNkYd5AsFvP3227h+/TpqtVpIfLVx/suI1KZoqRuRyxQzzXtsfV+Ws7B97FiyRf5fxBgQBeA248Jlx2h7j43DObN/Zn++H9p4KXxhjsnz4CvAs1FvIkyn00G73ZawFFPZpb6jHZ90mBIhGTpPhKHyPp3OCpMzyFKfbWmKpaZoI3+zH2RMtjAd3YrFIjKdDkrFIu7evStF1W17ZT5vE5EW9fRrg0EU91lkDM/TFlL6o9ipZoOuATTmZpl92iZiow6mUcE2aRP4bZRGU1jbu0JIYxl3uVwOjSv0nekB/nmiF4GbJ241m0202220223k83kJcSH3CJ3iDEhm6MrKiuTsE6mazaa8m4YDhv4fHh6KHrS6unphLpqI6YotNCvruWmfUL1eB54+1QuGz3zmM6j/m3+DaqWCtbW1C2tpWy8gHBBpQxo91igxi31qE7pJYPVco7ipbh9bJIuyiWsEsSGALS7HnLBpT7dZhWwLZdrrTY+ulXMYSBRlIIhrkQqqP6sDQIWe8yAQjkYj9Ho9nJycyJEQTCIjUhHgXfe8MASjfln+iD6OXq+H4+NjtNttAOfH4NF3w9K45FTlclmS5agjaR2LCH4hHygwMHBlNjc3gW9+U9bPdV380A/9EIrf+EZo76Kspvr7PJ+LBnab0cBmVTP7iiKc5h7Os+yabSEr2TzdIuq6uVC6z7i+FtFfzDJPUeLdvIWLe5cOjdEFMXQ8l+/PKujrmC6pGRacNcnjHejzYaAjm+/7UoVyOBzK2SqMQCDC9Pt9NBoNnJ6eSrnZTCYjXELrUGdnZ2i1WlJmirqO5ij6bzqdnh/a5J/7atjq9XoIiBn5nUwmZ9bDiL18XlE6CpCj9kuXe427b14/89pchFkEQUhR4wYTJ1+a/Zmn65pyre39tvfZ/vS1OPYMhAMueQCRUGkExgHPg+e6EjVMUYfpxDyiLhUcHLu+vh4CXiJOp9PByckJms0marUaisUiRqORpDCPRiN0u10cHR1J4YvxeIxisRjSaTS1b7VaoQqTAEIiHMNppBYzwjUNohCG71ldXUXCdc8rYyoiEidhsGmRzOQ6OmznMkhjwo35PjabrhSVO6PbwuH9Nj1BfzdfEmUCNuVT83fg3FSorTpRfdj6jLtnbriH+q65AFN6HSc46VjP1ZsdLsv304TcaDTQ6XRQqVRw+/btULEJKecamFA3NjawtrYmG85SSnt7exgMBqHjxmk50/n/RBjWBeB7eNIZnYja58OCGvpwWN10wOnVq1dD+h3DiuA4cPxwUXhzX/VvHC+bCcShvTCIrJZSTOlC/68PzjX7s8GRHss8CedSVjLzhbbJ2ZBgUTEuSm6N8q9cZozkXBqBzI0zezWVcDZ9kJD+DTi3ZvV6PclqZGlU+ka0FUxHIuvx04OvjSqaglLv0NfohzGzOH1/FrrCemDkkjQm6Ko5upllagHMyuKaAGkA2TzxLIqym+u+KKfi7zYpJ2pcNmRaRJ9ZmMPMQwDboMzfTBEobpFt/y8id8bpXeZctEPNcQJzcsQYTGon9wafpPrcCPpZWNyCwG6OTzvp6HfRkQeOM6vtxYLeVNIp8ul5aeckEUsft8EjKABI8hlrnV1AGMcJWQbX19fFoas5ja3ZiGecuBblhTeb7Vnbe/X3qN+iRL15OtfCCBM3qKgBaWC0sVTgIrWxiUzms/OoGfsnAJECm3PSz9reG6U3mZTMAUIAPh6PUa/XBWlocqbPxKzGonUQmpx54BPLNtGowHAY1iUgsOucGG104DksAMSgACCUsclqLyYlv3btmhCET33qUxfWRzdzT0zg1r+ZpmAgrH9o/cIck02CMeFMX9f32KyjJkzOI8pzlX4tQsQhkO2FJkDadBpeM5WwKAtYnEnYRiHixLILLYbDmCxcNgkzMYUIQz1CI+hwOMSzZ8+kHNLy8rJUieFz2hBA0YoKvwbufr+PXq8nz7DkEs3T5CbAucm5WCyiWq2Gim/QoUpzdujo9WBer7zyisy3VqtdXK8FmgnIplnYRIgoxXwRqSZOCrLBnK2ZYzLbpQ+FNbHSvBbXzOc0xYl7Jg5R4xbGXEBTqdNIHDdes4UW2+hfh6QQgFkcYmdnBw8ePMDq6qpUnGRxOx5Nkclk0Gq1LsSlUXxiqSZdjJyBnf1+H6enpxLmf/PmTdTrdeFajuNILTYW+dPiXGjurhuqrTzPWKKJoXZcR61pFOeIXGejj3n7b7tm/h51/bkRxhYSHjW4qEHFtUXuWbTZxmYCQ5QotoiypxcxqiIkn9eJWcyuZAE9Oh55Low+6HU8HmMwGKDf70tfJCb6YCLWJiO36Xa7GAwGaDab2N/flxrL+Xw+FK5C8YyBn3o9bEASldJgW5O43/T6xMHSIiJRHGGOuhZFaC8j5rPFIgzDzMlGzaxIbe7VSqNNiYsTldj0M6boZFsMG6WI4ig2DmX7PWo8evzaP8NaXjpFmZSc4s5wOJSKlLlcDicnJ7h9+7aIZv1+X5Cm1WqFwmz6/b7sAUUyIhcPKur3+zg+Psbjx4/R6XRw48YNXLlyBTdv3kSpVJJnl5eX0e/3xZyt10GsYFwfLFaQIlgcK6LEAaSJOFqnjRKLopBM/2/TffSzcTAT9b9ulzrj0kQW3Wz/2/Ia5g2IzbagUQgURVUW0b/MZxexwLAuMjBz9CXU3LXljUBJMy5DYnZ2dqQWcTabxcbGhohK3W5X6ncNBgN85zvfwerqqlx/8uSJnFDcbDbR7Xbh+7PcmK2tLbz00ktYW1vDysqKpC+zQqY+ntB2FIaYsGcTji5eaKyVb/xvu0fvlc2HovdD77VJpG37EkVMTWSM68f2nK3NRRhNOdls5mFzgFEUwqYXxbV5bDqKA9kW0maY0PpU3Dw1B9UhM/D90KGoXDP6YzSnY5hKrVbDcDiUuK9SqSSnjSUSCRQKBTEebG9vS7EOWskymYzoMycnJ8jn89jc3MT29jbW1tZQLpdnR3I4juhF2WxWOBf9OHrOPucRsw/W3+ZwgihiZiKNjaBqjmHrw8Y14kSyRQj1vPsuhTAmlY97kbaG2MQz894o9j3vnfq95qct+kDHGxFgCOArXriCP6OCAaDRaOBG8P0sqCrjnHcceodpGtWN+gytX61WC5VKRUzKOr8jkUhgaWlJjvQ7OztDoVCA45wXvRgMBnLsH4/CYxVOGiHozKRJWoIt1Voz3dhVNaR1sxlmiGT8brsexcVtIpqJSHHE0tZ3HLLYfjffNe8ZYAEdRiNN1IBsg54ni8ZNxBSjosJy+J5FEIVIoavod7tdofSDwQDrgXyfDOKq/tk/+2d4Mxj/L//yL+PNAGi+8pWv4HsCYOFxDyZh0QCmfSQUkYrFooSlfPDBB3L6WKFQQKVSkagAHe81GAzQ6XQwHo/R6XSwv78fqunMw5woDlLUchxHrGus/s8UBIrOTF+2iTLmdz0vc531PunfowDTxm1s79Nry/viJAIb0s17ZpG28PkwcTqAeY2yp77HTCVdRNSy/ZkZdkQOE6mo6PLsep31qK1MdPxNJhN8MZDpOfadnR3p89GjR8JJPvroo1lYPwBvOoUbUHw9NzMaWY+X1TApMp2dnSGfzyOXy2F5eVmqYRKwWbV/MBiIvjIcDkNh/UQOZkG6rivZlzo2jScWDIdD2Sf277ouEkZJJLbnyYePE5fNfbbprHxnFPfhvE3ksHE0cz5Rovm8ttD5MHGKsA1h9DVt/TCNCPpeNlNRj1La9XeNLDrko9frod1uC4D1ej0MBoNQNDGTqKbTKaaaSwCzoyKCfg8PDyWS9/DwEL7nAQx3QZiLmRZFevHN8HOKSvq4CuCcI5HD0++i+9becjaNMPzTkcn03dDRSRFVB4JGBUMuErpi28+oaybVnyc6RbV5XGWRFqfHmm2h4EuzE1v0cBwS2CbAPmwTNhHFdDia7+Rm0gzb7XbR6/XQbDbRaDTEsWfmgJDzUAme8nTlYEx7e3syNv394OBgJooF9/oqAjiUwYgwATARyXHO6yHr0kk6toscCYCkJKdSqVCqMnUV6i66wr8OoyHiMRKACKOP2UsqzhhlVo/7zbweJcYv2jR30e80f4tDlihOYn7XHC2qLcxhbEjDwUSxW/2/zv0w79NURiOI+WlDTC1utNttqcRP3USXNuJRdt1uF81mE0dHR1LJpdfr4S91u/ABLAV9//Zv/7ZwmHfeeQee/u55s1OHFQUnhyBicM3MOC0diMnMSAJvq9VCv98Pect1ngsPXdV7YEMYrqk+4o/iKQ0SmnNJZqYRnmT7HtVscGBDjiilfxE9xTaeee+w6S1Rv83jMpfK6Z8XZm/+bsruNt3FxjXiuIqeIGX9k5MTdDodAXx9qhgRqdlsYm9vT7IfNbCIWAKE0nSjKKx8dxw47uyobuaTMB1Ylz81x0+OokP7yZEoqvG+0FF6ak/IxRKJhITVaG4GQAIryXUpgpKIMKAzk8ngpZdemkUjX4L6m6I0xxwHwFH6hfm/Te+Ikkj4XROZeVyM9/MdNoS1tUtXjYkKhrMNdBFZ1vwt6k83AtJwOMTp6akgAakpFeRms4mDgwM0m03hKJ1Ox3rcOBBGFr5n3ncHM28/AdtxZoYJGgHY9HEYnKuuVMl+iUxaRADCpVy1DsMATiKqRigSDOpw1IlIbMbjsRxmu7GxAdMIPo/DRAH/PLFoXlsEcM33RCGebYzmvExk+dgimU7dtFFNm75iWzD2ZQ7I5CLmAThmf7R+tVot7O7uirWLijxFrgcPHuD999+XfPnLKK7z1oTNdV0kgvAXKvdM7GIjAlEH4Ry1yMl+GXsWOgpdmcQJ7AAuJIwR0YgMNHRQNNVOVRo+lpaWcOXKFaysrFzgLouIPeb3KJ1Ut3lcRovoiyDPIkq+DSEuw1nYFgqNsSmrUUhhazZ51ZyMFsE00pmizHQ6RaPRwNHREQ4ODiRtl2HtH374Ie7du4fd3V2J3F1kIeY1x3HCXm1SMACJIBqZFjdWswQgkcPU34hU1COo95BI8HQx3seaxVrnYSamXjOahzWnozjGNSAS8XfXdbG9vY2bN29anazz1s113Qunkpn7q4HZBjdxRCyKa0RdM03Mcf1GISnnFdUWQhjK+Ox4EWQxuY7+3TagRcQx35/FT+3u7oYKQZydnaHRaODRo0d47733cHp6Klzn30W7EAoPoFqtot1uSyklvQGaszDfxRRftClYi3VaBPP989rKmlPzuz4i0PM8Oc2Y9+lI5+l0ikqlIqH/81okBTcISZz0ENePTeGOUvrjxENTFFsE6b5rOgwpuuM43zXgsyGb/l0r/HocwMza1Gg00Gw2JUtwPB7j8PAQOzs7+OCDD/Ds2TOrfvK8Y0XM4sH3kep2kUwmsfXOO6gEijWDKhnmz1B+zk0nixFhkspCRXGMYtg0CNnhOugi5k6gP40nE4wDsYvPVHguDQA/0GkYOeD7PpZXVrA5maD06NFsbL0eghcAAIq/9msy//yXvnRehkmvj/pu0xvidNrLiELmM/p/m0ow77mo988by0IIQ3ZuO4ZBA3qckhynk5jcxJZ5OZlM0O/3sbOzI2fd0wz79a9/HY8fP8bR0ZGwZu2/eN4WNZ9Qv4qNM2jy8PAQnufNlPEgo3IynVpNtgR6bzqVkPo40fZCejR1w0Ch16E/vj+LDfOmU4wD/Y6EL5FIIJ/LzQpluK6VMCyqqMfdZQPoKOCNQqC4Z6LeOU/ENC1kcf3pFoswujo8w8tNUcLceBvymIig/5+n30ynUxSLRTx8+BAPHz4UZGGk76/+6q/i6dOn6PV6IRHyu9GSySQQAFgqlYITxFsVCgWMOx24iQSGhQKQyaD1+c8LkibabTzd3ZV8omq1inK5LJyG9Y+5bolEAl4gavE36iNa0acTkvf4vh/yrzADk89S9KPjst/vh4Iyy2+/jf6VK8gE6cfe3/ybgO/DbTQAAIMvflEMAYMvfhGgccIQ4XxcJC6ED73nNg5k6jh6brovE2miOI12iJu6sK0fPruoRBKLMIw3YtlSM0lKtyhHpm4mF+EETaqpf8vn8zg+Pkaj0cBgMBAEPjk5wf3797G7uyu/L9KiOJvrunDPzma+lWCO/9tUCk6AMH/dmR3jBwA/3++j6Hlwz86QevIEruvizp/8k6FksvFkAi8ItwGAVDIJN5FAwp2VKXIdZ/YuAI4bLvHkcVP987Ab+a4ooxdwlikjDBgsG9zvqDAaAop+b+V//p+RCsJpHMdBkrWTA6Rc/XN/TjhP9b/6ry6IZOa6mkQySvRe5DkTUaK4DNciTsy3vft5xEFgDsIMBgOJT9JONluLU+5MTDd1FVsAHT9TqRSOjo6kIJ3v+1J0+/79+2i1WgtPmlYorVxrPcIJzrckwqRSKWAwAICQOAXL5shv1FOSSUwcB34QcuN53uwagSEAWgKv9KGQBZiJO77+7rqhkq46HMfzfUFQYIZc3nQaQiD247jhSpnzhC/bddnrOc8CF30m8/TYRRR+DScmAmhkiTM0APFR12aLRRgmNxFh5oX682U2KmJiui0ezexnOp2i0+lgb28P3W5XEObJkyf44IMPcP/+/bnIYiLmxsaGiEiJRAIHBwfodDoYDAZArwf4PnhO1z8BJBzmryaT+DPB95/M5/Ht6RT5XA6jjQ1k0mk8+vmflwQwiko04z579gy9Xg+5XE6KX9A6xYhizl/7SICZrsGIBDb22263cXp6KpHNtIpRfOv1emJkYNgMLXC5XA6///f/fpTLZREFV37ohwAA7u4uAKDxd/4OckHFz85f/Iso/ezPzvYmSNG2id369yiAt92rv2spI8pqpvON9PtMP6Hum3/sl/Bs3hPXYhHm6OhIqLyOnjXlQ3Owi7JH/az+pC9hPB7j4cOHcmIXFf9vfvOb2NnZidVVTHkWmIl3d+7cQblchuu6UopVdIXZIGRR/k/drni/f67XAyX3X2q3sex5cPt9FB8+hOO6uPt7f6+k9gKqRrHv4zOedx4JHawTxTDXFo7CZ/k71wczriGfSiwTgDDXIejHUf3xvdm/9bdC4qBzdDT7Eqzr6h/8g8LNlv6T/wRgzkxQQDD/pS+Fx4l4QwFhJAoJgDAiaKTRwEwg57026SbKUqZhzQy2/NhK/+npKQqFgtTH0oM3W5xINk+vMQfd7XaleMPp6akA9Hg8xvHxsQQoRvVnKn6+P4vEXV5elqxGKsmh6vUKMPWnHt/cRh2NOodzHkfnBX16njcT+5RIYa4ZgHOnoLnRmlrOQRYr4GCGcJPpFAnMQnsWtYjFT91e2XLRpjlAXLNxERvXsolqH7fFIkyz2USlUkGhUAgVijMVf5sIxk99LUoM09YRz/PQarWQzWbFbKxN2wcHB+j1ela/EMUNLihFOKb/3rhxA+l0WirhM6qZYsxJ0M9y8PlTjoP/LPj+RwA0gu//fj6P3x4MUC6XMbh5E/l8Hnt/62+hUCiIJYzIyOQsvo/xbbSOsSSSLgSow/Z93w+lJDAkiOWVGBtH7k/fjz7vkuviOOf+tGQyifX1dVy9ehXr6+tYXV3F2h/6Q4DjIPnhhwCAxi/+IlaCsz2bP/MzWLt9GwDgLy/D830MvvhF5P/RP7oAA9QNTXgAwoRxnm5hAnmUXmy7zntM7hQndpnE29ZiEWZvb08qwZfLZQn9YKdmdKhpBZOXGHW8ohZqOp3K4UMs+qDzQ4bDIXZ2dgQJtEhGB6HOKSFn2dzcxK1bt/DjP/7j+O3f/m1JJGOMmenopOj1V6ZTWaC/DyAXfP/n/T6ueB6SrRbwrW/BdV3Uf9/vE4ouCz9bKBHPfH+WO+MFIppwBz6HQISimOQ4Ia7nB4p9CKACTqUV8ND6qt85Hv7u8l2Og2QigWS3O7sWiF61P/AHxKxe+zN/Bggisp1AVM1/6UtCxW2i1rxmAq8mnPqaXlMdrmV71qYTaVHOhozms3Fjj0WYbreL09NTZLNZLC0thXJLbCVXF3lhFFfyfR+tVgsPHjxAJpORMH0C82g0QrvdFp+LDoenAp1IJNDpdARRUqkUtre38b3f+7147bXXQrkv/X4/lC9vVVDjFgeB+Zdh/H5g+fLPLWAOApEsEMccxxFLFTAThWgShu9jys0kIYgZk+gm2vJlrrtCFvan9Z5EMgkXM+CbTKdI0ZdmmWsc1Y3b03n9zEMsE5jj/Do2S5nJWeJEvkWQPBZhKAIwF56iyyKNLJOUwBTBTEQbjUZoNpt4/PgxXn31VUkx1oW1+/0+Op3OhTz2XC4H13XF0crDVJeWlvDmm2/i5s2bqFarePfdd0Nh7pwP57SLGUDe4bhwbiWD8X0CzDIugRmV9jy4icSFUkVEGkfpGKZ1x3Fmnn4XQVENxzlX7i0AJshCxLRwFP1+zoWffuAn8hFUtwze6QUGiCSROuBe0lhnrViU/iY3biCqxVF9fd28Zvtd9xWlE0fpTlHIsgiBN9vc8H6GyjOwUPti9OBtL40K87CZ+zqdDg4ODvDgwQO8/fbbIqMzlo1h+wz5oPWuVCohm80KgpHj1Ot1vPTSS/hdv+t3IZFIoNls4qOPPhJPOYALhozLqoU+AjPw2RkSmYz4YDSXCSZ8jjBKZBWLkO+f+2eCPuE4ofRnImJI7HWciyIXLvpFzHl5/nkuv9Z56K/xPQ+O62LqeQslTMVZvbTxxXa/2eL0mjjDknmvjbOY7yfykLCzPXe0MgAx5dLeX61WQy/ip9ZduEgECHMApsw7Go2wu7uLJ0+eYH9/H7lcTrgKJ0aE4bOsbn/16lU8efIE3W4XjuNgaWkJt2/fxu3bt/EDP/AD2NjYwFe/+lV89atflYIYDBNpt9sSiOj7Pj7EDLheDcb5UwD+XPD9fwfgEWbA+PuKRfxcvw/f8/D/zmaRy+XwnZs38QM/8AP49Kc/jVdeeQXFYlEii5PJpGSBUqwFzn0uugIM/2ckdrvdxsnJiVSQKRQKSKfTEt6iAZL9hjiXd15jYDwe48mTJ3jw4AG+9rWvzbgxgEImg5s3b+KnEwlkMhm8cu8eAOBLf+Ev4A/95E/CdV20fuZnsPLWWwCA8Z0ZDx797t99AV5MbmDjkFFWVg1PNoDn3uv7TI6xCMLZxqZDu+LaXIRhnglNudzwKPMxm67da7uPdbCm09n58js7O6LsR1lVuDiZTEYK15HruK6LSqWCN954A6+88gpu3ryJq1ev4uDgQE4dZgYidReKcPKO4J2l4POvAmD9+n+AWa6/A+Cfdru4HYzle/p9uIMBnEYD7te/LqH8yURidlpXQL1qNn/L+STP15tUPvhdRIngU/tT9PP+bLOsXFL3dTYeYzqZYEJAm0yAVgvuO++gEHj/s9Mp4Lr43F/6S3CHQ8BxUPwTfwJOcHJz4uBgtg+/8isX3mXus4kcNpHKzIXS95gcwuzf5GAmwprvtjWz7ziz9kIIQ12GZ5GYHMbW4jB9MBhgMBhIaSFSX8/zkM1mL5iuNQV13dkxDKVSCeVyeVbyyPdRKBSwubmJO3fu4NatW9ja2kI+nxfOSL3HPHXLdF7FTEhCZmQu+jMYn0QNB5zVdRwkXBcOjSTsCwgDv6GgyzW+1yJa6LEJ0pjrHYzN81UYjaUPD5g5V4NnHF8dfuv7GA4GyF94Sg9h8SJ5WoyPEutt300uoWGDHMImgkWNzxznx7aSselqKxQfzInHWUj0wkwmE+zt7eHk5AQrKyvY3t6G67qoVqtC/UejkbBfhuWwkbuUy2XUajV8+OGHyOVy2NjYwKc+9Sm89tpr2NjYQKFQQK/Xw/7+PgaDAZLJpBgXtO9Fj/W3g3f8UPD5UwD+dPD9f5/N4quDAeA4+H3FIv5SEDX91wKkp0mb/XFNeNYk9YR0Oi16Vy6XQ7FYRK1WQ7VaRaVSQa1WQ71eRzablbAZmtRJWKhH0uzOPBdTx5xOpxI+s7Ozg4cPH+L4+HhWlcYCPD8CIOW6+IsAypUK/sef+An85f/mvwEA/L0f/VH8yfv3kUomMfq+7wMwE8kEyBAGYA0HGjlMuDFTOQC77mszFlAP1O4NHfYylwga/S5y/8J1yYbDIRqNhugBuiqKRgjdbIh0dnaGe4GMXK/XUalUJDd/f38f2WwW3W73POzdO69TXCgUcOXKFXH4MR34U5/6FF566SW88cYbuHLlCkqlEsbjMd5//30ppUSzNGO8TGTRrR58/t8cB/lADPofRyNszR7AP+12cSWgxn9gNAJGI7jdrlXkstIq2zpZ7qGeIhHOroukLrZHADVio1iUcDqZYDI9L/cr+2kbE9tkglUAzskJfs/P/zxSoxHgunjjf/qfMG02gUQCvV5PTlg29ZVFFHoiislhdNNGEZuIZYp0msvImhqi/SLp0HF6EHAJhPE8T/wYrG3FCdkWiQB/4YXJJFZXVyWnnOfYHxwcoN1uY3V1Fe12G77vS5ouABHDlpeXZwlZQa3hmzdv4qWXXsLNmzdDR+Fx8RiYOBwOJbKZfh1z3AwRcZRzzCFihRfk4hoBEu5y4Xf1HbxP/xYhTnmBiAfHkbHpUkqu44jpmXqOhPsTkZSYdZnmA2h3u5j6PhIqbg3TKQ6PjrC2uipnaGqFOUocivrfNAhpBJmnBxNGtIHJtHzZ/jf7M5ElDunnIgwn4HmeOPzoy6AHP8rqoQfBv2QyiZWVFezv72MymaDdbuPg4EDyXabTKU5PT6UgNzlZKpWSsxpTqZScjfLSSy/hypUrWFtbQ7FYDJVbTSaTUnKJFVQymYz4YDhO/v3zQM/4ieDaT2ez+IkgbfePZTL41SDo8IezWfzeQAf6J8F8ea5lVEaquTZahNBER1u2zGBXAHJkBg+MZZUaHn/RbrcxDuLE5lH7qOt/P/j8j8ZjPMQMcH/h7bdx/ckTuADezednUdqdjoiaJoWPeqe55sD82DDTehZlJTMtbbZ32sYDXNRjoloswpjY3+l00G630el05Bx5Ux61KW86+jSZTKJUKuHDDz+UzMC9vT1BxsPDQwDA66+/jmKxKMDCI7x7vR4KhYKUNbp+/bocS8fqLJ1OB51gM8lljo6O5BkCIi1aZi1iZzoFPA+/bzqVcJj/YjzGlYAT/A/DITaChWWsmauO2ZO5xy2uc+5DARAKWUGg5AMXOZDv+0BgrZJH494T1WIA41rw+f+aTlH0fTjjMT79j/4Rsr0eEoGD+P1795B5/328+OKL2NzcDAGyeaSILUGQTcOMqbTbdJkohNDcQ3MKkzCYCYsc4zzOwrZQ5Uu2breLRqOBRqOBTqcjZyaayj+VXds113VF/uUEcrkcvvd7vxetVgvPnj3D06dP8dJLL6Ferwv1JbKR2ywvL6NQKGBjY0MOJKIDs9lsotPpyDhIeTOZjHCsUqkkdY21jC8bZBEVgDAS6OXVym/QUeQBRSK+2TbIIq7FtedClks2H8DB4SGGjoNUUMxjOp3ivffew/HxMb7/+78fq6urYlgxrVdRjkAbfPD3KH1FxhSha5jilU1vsSGX5vQfSyTTg+KZKs1mU8Qnk0Xa2K75l8lkUKlUMBwOhfLn83kJmmTpV4pfLMPqOI5YmtLptJypUq/XUa1WUSgUcHp6ipOTE5yeniKfz4ufxnEcVCoVMV+bMq5uD1wXPoD/xXXxV2YvxlcdBz8YIMF918WH1BOCZxKknNx0k4PY1tb4/4K+4/tha5baTOt1S3sehPqh4PNDAN8TfP/NyQQvpdPIp1L4V+UylpeXkRgOcXx8jHv37iGbzYZEYjZzjU1LmIksUZ+hORni07xPtjjjQZx3PzSfuIvmZGhebjQaId+GjYvYFoLXaFqdTqc4ODiQcBe+g2Vdm82mKPAAxERL8Yz5LbVaDbVaTc6ebLVaODg4EAsZAJTLZayurqJcLiOfzws11HMNWWS0WZJiwvnNF9bKZk71g6DKKC7hG3/6N0GG4C80Hr1Hkbu32PW4NlXvo6Gk1+vh0aNH4sfq9Xp47733sL+/j16vFwkPMh6LuG7T+Wz6hZZ4TKucqeuZ+2HTYWzjiLsPuGRtZeaq7O7u4vDwEOvr6yEfBF+kc+b1gvF/z/Ows7ODbrcr6QMMDcnlchgMBvjoo48AALdv30a73Q4hjfZp8NQuKt31eh2lUgmu62J3dxeFQgFvvvmmHHtH8/X+/r41VVXXAfM8T3Jk/hfXxVuJBBwAPx2cMamjnB1n5qCk6MjfzM3SG2lSURMAzHB087koU+68/+e1vxp8/hTOuc0/AfAZ34c7HuOdd95BvV4Xcbjf7+Pf/Jt/g1deeQWvv/46KpVKSCTjvpnIxLFFIYdtfcxmJVQRSAVcPGZej3EesgBzOIyt0Tx7cHCAVqslFjONHFFWM8eZOS4PDw/xla98Bffu3UOv18Pq6qo8l81mkUql8PTpUzx69AiFQiFU+I7cgUjD/Bda74iQ9LvweY5pZWUF9Xodmcws6EUXzBMEMDZbFsuZhdPbjBt6c0xENC1e+hl9j+052zNR1FPMza57gXIv0qSgedxN/izG7xvf+IbE8KVSKfR6Pdy/fx9f/epXpXwvx6IT4hYBSsB+ILGNUOj1jlof/m5rJgeMuxd4jur9PIjo5OREHIJxiWRmm06n2N/fx9HREbLZLEajkSjjnudJIYlOp4OTkxMMh0M5QEj7djip8XiMwWAAx3HEP8OiD9w4IhwLffOMSYoQBGj2S/HrwmY5zoWIYXOh5ymNJrU0kWFeXyaX+W42iUoIuKfZuCasb81A2WKxCM/z0G638ezZMzx79gxbW1ty/maUgm7OKe66aYDSnNj8bRGOao5H61rPHUsWpRSPx2Ocnp6i1WphaWkpdFqWTQTTgxuNRnjy5IkAKwvwMVmMx2Xz3JeDgwOkUikxQdNCQwo0GAxEn+J4s9ksqtWqxMDl83n4AWWkqblWq0kcmhlOEak0wi53s5lAruev2X6UaMFPm4hiu9cUL0wZ/7KNFsuMc16J09S/fEAOkNrd3YXnedje3hbjzPHxMd59913RMW2HaMVR/ygEs81H52aZnMZ8Z9R7zO82yUK3S3MYYMZlDg4OcHh4iOXlZQyHQxQKhZAJ0ab0kxucnJyg1WqJafr1118XTkV/iu/7ODk5wa//+q/jx37sx+C6bqiQH4Mw2+02EomEcBkCbK1WwxtvvCHO0WazidPTUwH2VColdQN0rWLdfsT3JUzmpyYT/GCwQT87nUqqcWh7fB/OdCqRApx3XHOgIgDU91l3KkKZv6l7EUQBCFDr7wgbExZq/T4SwyG2XBduMglnOkU96O9HVJ9MS+h0OgCAr33ta/jsZz8rkRnvvfceyuUybty4gatXr14Q083vGmBN56eNgFxWR4sjJiaizHO+LuTpNwGJHKHZbIoe4/vx9WwHgwGOj4/FSem6LjqdDt5//32kUilUKhV4nof9/X1xJg4GA3z44YfoB05BFpfgGHQQoj5TMhvUzVpZWUE+n5eTin/zN38TOzs7YpUrl8syNyKOabEBYA2pX5SCzxVH2L9qJuLYnpFxhV+20JjiGusGuIHo6g6HVtO1Po9nb28PBwcHqNfryOfzGA6Hs5OmPU+CZK3vMgDYBsgmJ7A9K4RlDnEy+7QhIg1WUW0hDqMD4bQ1SUcw26wbejCdTgfHx8fY399Hp9NBJpORk8G+/e1v480330QqlRJFPZPJiLi1u7uLarWKYrEYimMj4GsdhIiVTCYxHo9RKpVQKpXgOI44XJvNJkajkUQMM1SGfXxVcckG9RYA+yQINAzYNgXPb8r1jc8o8e3fZfMA7Pqz2myJRALtRAKT6RSO70s0N3BOsMbjMbrdLg4ODsRq6bqu6Dg7OztSDDIKoKPmGCWORhmV5jXbPdpSpt0eUW2uH0ZuVOEtbK1WS0r+6Bea4hj9LXt7e0KNyuUyCoUCBoMBHj16hGEQp5VIJLC8vIxisYhsNot0Oo2vfOUraDabWF5elj4p3mkLFL8z7mxlZUWiACqVCr74xS/ixRdfFIrHDS4Wi6FCGnr85C4if8/bFWAmmi1g05fbF+1XIa9+V1y/z9M8YFYb2p+Vl02yXJPxbhZHZ8HFw8NDnJ2diWh2cHCAb3zjG3L62yIGjri/KB3FNDjRImda5qKiT7SOyUzeqPZcOgw5TavVknx/niJssjPWFtMHke7t7aFWqwlQ7+/v46OPPsLq6iqWlpZEJ9KlVtfX11Eul1GtVqVCve/7ODo6wng8RqFQQKFQQL/fR6FQQD6fRzabRb/fF1ZbqVTw4z/+4/jyl7+MX/mVX8Hh4aEEM3qeJwULfyM4EhAAPhsA6d8warPpvBRzA2lKtZmeuX46d0ZH+wJhOV7XMOBm6wgL8zn9rnkWO7NpwCPQ/LUAgH4zEKFHo5FUw/Q8T8SywWCAZ8+eAQDefvtt+L4vZbG+8Y1vSKgTxxg3Nv27ebiunmeUscDs2xTr9L2a0GYyGWQyGRHpbW3h0BibaY/+D1aU0fcDs80eDAZotVrwPE+wlydobW1t4fbt2/jWt74lC0zrCzCLAGZM2P7+PgqFAt544w3J/GSIP/0x7JfHOrD+AENjSqUSVlZW8Oqrr2I4HOIXf/EXJfeGDlhuUqfTQavVghNY5n73aDTLSAyo3MQIjZHm+3A9DwmLLsR1dH1fyrHqteW9GvCnWvEPgCeUrqyeNQHFjxAbI/eaQAUgxePN/VnS3crVqwJcJByEB9Yq6HQ6ODo6kmIk5DQfffSRpF5wjW1m4ajGe0zEeV6R1dR/yLk0V4pql3Zc6kaxqNfrCSXkH6u4sEQTw+0ZJEnT7u3bt7G9vY1EIiHFNg4ODuD7vtxHi9nTp0/FwkVvOsPaiUQA5AxH6l00g47HY2SzWVy5cgVvv/22+AqIbMx+XFpawtLS0uyalr0NEWHRFkXtovox3/HvwudiNr5Bc6tUKgU4jkRgMKrCrLvA9WVhkdPTUwDnBRz39vZwdHQk+UjPq5dFIc6FucwRh6OsbkSWj63065dwwwmIPN6bVU2SyaREDLOyJC1Q1C1qtZpQq2azKbJws9nEw4cPMZlMsL6+jkqlgsFgIDFhR0dHePr0KdbW1pBKpdBoNOD7sxoB9CFks9lQzFu1WsVgMJDDhvL5PEqlEu7evYs//If/MH7pl34JH330EdrtNnK5nITY5PN5tNttfDvw//wz18U0EIem0+nsKAvYFVPXcZBWuUIUpzSi6CxBM9bKU0g1MZDNdd0Z14HFwGJwp3mBmbY9Zn8ugK1KBekgQ/Xo6EiiJB4+fCiHzQIQi6brzk6TvnfvHr7/+79fHNPj8Rj3798HACwtLYXXyhKcafpr9By5XuZzUf4bfd2833ynFqWj2qXC+82XeZ4npV3b7TaKxaJYzmgI4PPad7K8vCwJYN1uFx9++CFOT0+RTqdx48YNrKysYH19HdlsFuVyWThIp9PBb/7mb+Jzn/sc8vk8crmcnL4FQLgEF6fVaom1bDweo9FoIJ1Oy6lmn/nMZ9Dv97G+vo579+6FFopHUXBjfndwQJIOWQHsirXr+0hMJmETtSl6KDlcZ2C6Ki37AjX2/VllGP5mARB9/2VP+XQCMc9xHMDzkDs+RrJSwcrKCjp7eyiVSpImvrOzEzp41wk4Ua/Xk4hx1ibwPA97e3twHAfXr1+XUKjZMsSP0qYDRgF+VFhWXF/mtXkccCEdxhQp9AsZ8s8i2XQw0vNuJgul02nU63WxnNAzTzFuOBzi1q1bonglEgnUajXxpTCcfHt7G2tra1LQQo+DB7KyP13vK5fLYTQayckEm5ubcJxZ8T8eLsug0FClT4s4FrWsUWJWlFkzqpn92PqI+u15m5YkaFxIpVLiX0kkElhaWpK9pt5JwkJ95uDgQOpaEx7a7TYeP36Mer1+od62Hvf/GqZ0bRygX5GE1vd9lEol63OXspKZG0Oq0u/3hQO4riumRTOC2XFm8V71eh3NZlMchfV6XYrVdTodbG5uim8km81ibW0N6XRa0pnfe+89AMDy8nLo7BpyLJ1WTcQcB5YvipLD4RAbGxuo1Woipn3wwQfiJwJmRo1/lkzizPMwATD2PHiOgyniTbaO4yBpmNhNq5aNsoqiDMBTopkgKdc/AvFEyTeI2qJNj9d1XbgA1jMZ3FxaQt3zRDe5cuUKKpWKOJh5no/v+yJeHxwcoFQq4YUXXpDKN3Qh3L17N1K5nidWzWumtSyqD/0eXUYsnU6j3+9jY2PD2v9CCDOPMlKu9P2w112HuWvEqdfroZOGr127hn6/j0ajAc/zcHx8jFu3biGTyeDhw4e4du2aRCUnEgkR4waDAb7whS+EYtF2d3cxmUxQLpclMoCpx8+ePcO3vvUtqVX2mc98Bm+++aZkX167dk38CbTUAedRAFoUi2umEkmdRW+WBhYtq5sAo2X1OECwcaOP0/ieTqeDnZ0dvPzyy1K+d3d3F1tbW2g0GpJXRB2GZ+/Q5dBqtUQMHg6Hcto1ozBs5vGoecRdXxSZTGskiSkDgqlrv/7669Y+niv4ki2fz+Pq1atyqhf9MFwI/lHHkJcGR1OQMuVyOaytrUkuDOPMHMeRGLVqtYper4eDoOpir9fDkydP8OGHH2JtbQ35fF78BIxyrtfrmEwmkgm4srKCvb092Uh6/UlhKE7QQrS0tATXdUWkex4g1BQbOPexxFnHtO6ngzajFFubKPM8JteQ/uN5Avw0rrB81cHBAa5duybFOFZWVnB4eCjiK8NmWq0Wnj59ilu3bslvZ2dnePTokeiIWjQyxX3Ow1wfDfR83haDtqg+Q85O6UjX3zbbczsu0+k0Njc3ceXKFWxuboovRJvlyG04IQ6OZlzqHgBEZ2CY+PHxMYAZUrLwBWOVWNV/MBjg8ePHyGazUnOYrFWbsZk/k8vlxKNPfw2Pxzg7OxOnFTM3KcfSdL7IRkQ1sT5FKKYh3WjORv+vIeOzkXs3Gg05WGt3dxfdbheJRELK9ZZKJTHtc4yMN2QtBv5+eHiIjY0NKZnFpucfxU3mrZ3Zl262PgmLPMZRV3a1tUsjDHMmKpUKXnrpJWxtbaFer4fqQ1FX4cCp6/C7rtDCMH/2m0gkJKvT933cuXMHrutKFiVz//muR48eoVwuixnacZxQwW/mx/BveXk5FAPHbM5kMom1tTUsLS3h9PQUmUwGa2tr8P3ZuTXHx8eXRhZTBDAVTb0+2nk2T4k3xeHvVrOJN74/K6+7s7ODmzdvIp1O49mzZ9jb28Pm5iaWlpbQbrdRq9WQSCTQaDRCemI7qHCjxa69vT1cv35d8pNsRECLn/pa3Pc4k7RN5COBT6fTWFtbw8bGxtzEu4XKLHFTMpkMNjY2sL29jddee02OmtOim85g5MszmYwohJQbS6WSZEXyO0WfTqcjAF6r1fDqq6/i+PgYjx49QiKRCJ0D43keHjx4gH6/j9u3byObzYo+wwLk5GTr6+uo1+uCOPQTFYtFrK6u4saNG2g2mxiPx3j06JFwnXq9jsePHy+ELKa/ytx4U+wxxQ/tl6FOqK+bnEgDm/7+cbiQqYM5jiOcIp/PC1FhrN5wOBQnMDkS95vHFep5nZyc4Pj4GKenp5HKNdfHXNeosZrNptybv5NAMd2d1lUmHNraQmblZDKJQqGAu3fvypmI9XpdxCt+ElkYl6PlcZY0oizLGC6mHJfLZfi+L4e9kjq1Wi04joPl5WW4rosHDx5gb28Pk8kEiUQCW1tbWFtbQzabRbPZxMrKCtJBKSDWHSYS8PAlKvkU1XgAEw0LzPIkQreNOmBxa6U/9YbpjdUxaCaQayQxqaJGOpOi2sbycUU3iqiZTEaAPpvN4urVq5J2kc1msbq6CgCix96/fz9kgep2u6E4Q9d1cXp6ir29Payvr88dh41ILGoksO2Jbvoehv3EcZjYGAMiyvLyMq5fv45bt27hypUrWF5elkLZfBEnQqpkHlOuJ0lzcjqdRj6fx3Q6lTI9RCCG1jCKIJ1OY2lpCdvb25LjkkqlsLa2JlUyu91uKG6N46CX//T0VEze+XxeTKNE7MPDQ5yenqLf70s9s16vJ2JjXLOx/ih523RKmtyH1zUHsiGLjWstYi2aN49EIoFCoYBisYhKpSLme+C81C+ritK4QmSiC4B6i+d5YvTRISfcW9sc9FqZ8zevxz1jrom5NhomTatZVIvlMPl8Hqurq9jY2MCrr76KpaWlkFWCHIPWLsZ4pdNp8cnQCKB1GE6M9cnu37+PlZUVybRstVoSAZ3JZCT/nyEtv/M7v4Pj42M4joPNzU0Bah4+9OKLLwoHZPoyUwzIzQqFgkQ+U4x477338ODBAzQaDZRKpVClT5t8b1v8qM3UgGHqHWZoiP6MumYTy74bXIUJeNvb25L+UKlUBLhd18X6+jry+bzEEvJQq3q9jrW1NVSrVakyCkCotq6VTEe3jUtGiZY2HcV2zewrrpHIk7PPO5IyFmE+//nPY2NjA+VyWRxUbLq+MqkPF4blYHWlfOo6tEToUBmGv6TTaWxtbWE4HOLBgwdotVrY29vDw4cP0el05FSv119/XeqW9Xo9HB4eiuiUTCbx0UcfYWlpCa+88goASCwZTdHVahWrq6tSPRMATk9PcXp6iidPnoTCPlgIMJ1Oh3Qwc0NMMSEq8tVU7Pl/FDLEUVj9ft5ju7YoErmui1u3buG1117Dpz71Kbz33nuhegkkPDSIsGg8xVoq0Ddv3sTjx4/F8UwJIplMCuIxNpAWNq6TqQNqY4k5N5tOaJrfo8Rk2zts+TZmi0WYzc1NKXhtowLUFfSANEsjRRmNRnKMOK/phLRisYhWqyVOo/X1dWHje3t7ePLkCU5PT1Eul/H666+jXq+j3W5LgQsaDABIttxgMMDu7q6YvMmFqBv5vh9KN/D9WXQ0Y52SySS+/vWvCwelMYF2+jgxyBTLTFOyRhiTos2Tyxdpl0UUttXVVdy6dQsvv/xy6PzLs7MzlEolyX2ZTqdYWVmRWnLUyWhc2dzcRKPRQK/XE2upjjAnjLTbbTx48ADXr18Xt0DcWszj4Is2m0FgngTBFosw5XI5hIXsmEo8AU3XJdPJTdrTTR+LDrknpS4UCmi322IQyGazqNfrGI1G2Nvbk3I+/X4ft27dAgCxgtEBCsyUVHIy1j/TSM94Mkba5nI5ydOgA3Vzc1OSzU5PT2VMxWIRyWRSntVBh/zknw4x4TW9IReikw0RzSaSxAHEd0NvSaVSuHbtGra2tlCtVrG7uyt7TKum53lSIpjmZDp+HceR9b1x4waePHkicMHii9RpCA/9fh87OztSpqlYLEppJj2vechgI15RRoF56zCvLRytzE9SRHIX07IDnDu7yKpJ4UllHMcJOYj4O7kCN2h7exv9fh/vv/++VOj/5je/CcdxsLOzg+PjY7RaLamrzMBKigeTyQRPnz7FCy+8gBs3bsB1Xanl3O/3JTW6Xq8L4uTzeTGff/GLX5R0gXw+L8YGlkg1F1kji5kOy+taZDDlbtMgECWGxW2yOZ5FEI5HkHz+859HJpORw3lp8m02m6jVajg4OJAM1pWVFRGpqGtOp1OJ/q7X62JwMcOA+Hd2doajoyMAs4Ilq6urojvpNTL1NVtfutnEO1saQZSUELtWkVcA9Pt9ZDIZYc26AAVFJF7Thd9ontPcqNfrhX7L5XKhU4WLxaJsDqlZKpXC3bt34TiOHLqUz+exvb0tGX67u7uizzD6mJMej8doNpv44IMPcHJygk9/+tMoFAo4Pj7G8fExzs7O8OzZM5yenqLdbmNtbU0W++joCFtbW/ie7/kelMtl/Kt/9a/EkkcOSa6pOQuNHHrTbHqMuVlRFrG4ZnL/5+E0jjOL1L5165YQE+YNfec734Hv+2Ix1MUOU6mUWNIcZxbCxAzcUqmE1dVVqZOdyWRk7820bnIlnhF0cHCAq1evSg1skxvbpB19nc1EGtu8ddOO5Of29OtOKdNywvpQVy2ecbCa65DLUB9gYT4Cm+d5QqFoXdGhNJubm5hOp4IYKysrWFlZEeuNDuFnQKBGci7sgwcPpCh5JpPB06dPJS2AYykWi3LseaFQwNLSEu7cuYP79++Lt58Wu36/L0YNjSim99rcVNMkT+Qbj8cX4u7m7c2iokeUBY3rzyBLnQpBU3GpVMLp6akclUhgpF/LNOYwEoQ6IxV/7rm2FjLV3BTneY4py/rqGglxxg8bx5/X5hlWdJvr6dcD1Kd7kf2SAlHW5XUtr3KhabZjHJk2hVIBpyLJjZxMJlIYg1mZrLj54osv4hvf+IZEmfL0Mubnl8tlWYjpdIp3330Xb731liAFZfBhcGwDMEsZYJBgLpdDtVrFlStX8OKLL4oDlIYKAOIc5XqZxS/MGDo+S0cpObPWrRYN9IxDFvP3uP7G4zEODw/FUplMJtHtduVUt3w+j5OTEykSwQgLOp8pZvOdjDGjMYcchuukEYb7TcAeDAbY29uTcr6O48ghutrIZCrpcUQjCsl0P4ty9bkIw/KsjPOiGZmZjgTUarUKx3FCyh31FJ6FCEAKV1QqFfmfVicml7GEKwA5lnxtbQ21Wg1f/vKX8e6778o733jjDfzGb/yGRNRSXHQcB0tLS1heXpb3NJtNfOlLX8L169dx9+5dfOELX8A777yD3d1dNBoNPHv2DEdHRygWi7hy5QqAGcCXy2V87nOfw/HxMZ48eYJGoyEecAI4389105tArsK8m6WlJTHFT6dTMat3Oh08e/YM+/v7oXi4OEDQn6aMb95nAwbuz/Hxscy1XC4jk8ngxo0bcBwHJycncjwJxSQmkxHxyWVJJIvFIkqlktS51vXrtPTBegDaBE+YYIpApVJBvV7H9evXQ4dxmYiwqKUrqi2CNLEIw9ggUgJ9DF6hUBCKy3tp4SCCkUPwkxHDnU5Hjp8g26eMy7pkz549kyQzZkUCwMsvv4yvfe1rElvGqIPJZIJOpxM6VoHchoo8N2NnZwedTgd3797FrVu3sLW1hXv37uHx48eSDt1qtcTosLq6ikqlgk996lNIp9P42te+Jta8SqWCcrksUbyNRgPj8TgkFubzefEhacMHACm8Tq+59t+YG0guZZr5NTczgzpNC53tu6b0FJHeeust4Qz5fB5nZ2dSykqbyQnkPDKeHIqnMJCIhU5HwHnMYbfbFSsmjUS6b0oN9LPduXMndKJDHLHQhMvUS0zDyqKi7VwOQ6DW+oZWcmlipXWKHEZHJFOE4++0kJBbUbYFIJEClPPp6OL76HRMJpPo9XrY2NiQzaFIw4nT1s8xckMY2s86WtlsVrI8eYxHp9PB/v6+ZGpub29L3NSNGzfQaDSEwjKvo1wuh97F+s2MySKyUD8gsOoA0aj8F64ddUbqS1qkIFDqyGe+g8hgNhK3arWKGzduoFaryRrTyMM9qlQqwmEY2cH5Mg05l8uJlVAjMv01/F8jBcetjQqcv0Y21semmGYWOrcp8nE5XVEcJQ5xYhGGEcFa2ePEdLQwQyR4SKw2rRJZiDD8GwwGQil0sToAQpULhYIcfMTxsFAGrTbUfUwHJifebrdFma5Wq4KIrnt+uNL6+jo+9alPCTB4nid1oBuNhuhIq6urqNfreP311/HRRx9J7gfHTepLIOS49LySySR2dnZET/F9P4Qw+nc9D+4BixRST6OiTNFQW7MIUJw/90H3z7i669ev4+2338ba2hrK5TLOzs5wcnISCm3KZDIhbqADbBl/R8qvEZ0Az73RyMIiGTpJTxNkEgAAkvpMYxMNDnqdoqxfutnW17S+RbVYhNFHTHAxqNdQhuUG0NqkE7C05Yh9JRIJrK2t4enTpwAg1IuLT1Mz61+RcjKuazgc4s6dO3AcRwoXMB9meXkZlUoFOzs7aDQaIXGw2+2GDoqlJcdxZvkZv/M7v4PPfOYzuHnzJu7cuYOvf/3r+OCDD9DtdtFut7G/v4/t7W2sr69jc3MTb775Zsh8fO/ePTFo5PN5vPrqq7h79y5eeOEFJJNJdDodPHnyBN/5znfk0Fpy1sFggHa7LaFE5DSa23A9CbTkbNxgEjEaTGguprGl1+vhwYMHUnSRSJXL5VCv17G5uSnFKSiWjkYjIWZXr14VgkCRi8SUwa2M0SMCUZyjr4bjI2EjQvPEBvatuSaRiOf6tNttPH36FO12G1evXg1xmkV1F5uvKso8fSmE0VmQZI/cNMdxJBQfgGRA8h6KKdqkzEXQIRftdlsq93MT6fRk1REWgdvd3Z1VYVxZQblcRjabxf3799Hv9yWMf21tDdeuXcPS0hIODg7Q6/UEQLgoWnTJ5XIiKn3729/G3t4e6vU6XnjhBeTzeeFC3W4Xz549w8nJCXZ2dnD9+nWpAZ3P5/E93/M9OD4+xng8xsrKCt5++20sLS0JAFGZ3tjYwAsvvICPPvoIOzs7ojdRF6Q5VQMtuQkrR2pRhAirzdRsuvAIg00pIXCtGRXOmLxKpYJsNiuF2ylJrKyshHQCLW4xI5XWLDokGdZ/enoqe0DXAcVWrdewb4qammAQOR3HEVH7yZMnuHLlihCGeb4XWzNdIfo3W4tFGG3J4adml/pT6znay8/B0OzMxab1q9frSWE/3quNBCwGxyxJWlWImBQVtAeesnYqlcLOzo4gDYGSmzEajYTC0JRKak37f61WkwXkiWsUP0ajEer1OlZWVnDt2jUUCgU4joO1tTVJQyB35dzoCM5kMqhWq+LzIUfkbzy5gGVv+Qcg9F0r+Wym7qCND9Qx2SjKDQYDyZb0/VlwJAtbkJtxHjrviUc40qPP/Wq1WnIgr0YWPgNARHbdtO6mgdn0CRJpTk5OMB6PhXAt4neZ1z4WwlDsIis1KRg3gCyWQKuVU8rf2nFFywvD+IHZYmUyGXEI0j6vRRitZ0ynU6yvr4vuxCjnW7duSWYo81/MSANuCqmd7qvb7eLLX/4y6vU6VldXcfv2beTzeTx8+FCA+P3338fOzg5WVlbwwgsvoFarScputVoVcYJGDs3VSqUSXn/9dbz00kt466238C//5b/E06dPMRgMsLm5iWKxKByGSEygpgORgMHxEzmAcwLFPxIE7TPhegMQID49PZU9Z5SyPi5EG3l0meCjoyNMJhPRsRi6zxQPEiiOkQdpUX/RgKq5pykqkUjy2mQywZMnTyRnZ3NzM+Srmdc0Ypp/US0WYUiBGbatLWZEBOoyrBpCpb7b7co5L0QsenMBiOOQC1ir1cQYwHdSp2FSGL3OzOyjCbRarQqX+Y3f+A188MEHODw8xI0bN+REX2AmfmhPuuu64twcDAa4f/++OMiYu14oFFCpVLCxsYGXX35ZwtIPDw+FCu/t7eGjjz7C3bt3cfv2bbzxxhshpJxOpyJOUBbX5tWNjQ2JvfK8WcXORCKBcrmM27dv48qVK2Ig6XQ6ODw8FIvR/fv3JXJbJ7qRS2jEoS5BnxfbdDqVEBZykXK5LKZwberVxpx+v4+TkxM8efJEfEy5XE5KaJGLc17kPIPBAKVSSYwwOhuT8EECow1F3DMt2YxGIxHZ2+02tra2UCqVZI1tyKORQkceaER6LoQZDAaCGPwjldHhHDQ9apmTYpkpYxMRCDiZTEZil9gH05n5nvX1dRQKBWHl7C+VSqHVagGAFDK4cuUKjo6OxMKzsrIiolU6ncbx8bEos1xwIjIpLY0adNCRqqbTaTEVb21tSegHZfZvfetb2N3dxYMHD/Diiy8Kt2EKgclt+/2++LIIiNxkWtno52Ekb7lcxtLSEkajEQaDAW7fvo3Dw0McHR1hf38/BFw0WJjpD9RraAr2/fPUcI3g5OJ67/g3Go1wcHCAZ8+eod/vY3NzU44LaTQaovQTWVisvNFoiEGiUCiI8cD0JemoEI7LBGjN9Wh42N/fx3A4lFT1KGTRhMX223MhTL/fF2dbIpEQG7u2enHBSfH5YuoaGtE4SSp29LcwakD7G7SiXq/XUSwWRUElVaBjjA6zYrGIa9eu4ezsDKenpxJlS4cpjQ8Mh6FJVzvxtOm1WCyGRBA6bEulkiianNNoNML+/r6cstZsNrG5uSmmaCrE9PjTs99qtSTcBjhPwmPtAYbxkBIztIaAVa/XUS6Xpe6xTg/u9/ty/ASRk+LeZDLB0dGR6AxEZC0FkMJrEzEBqtlsCqJOJrPCiYwA0cfRUwyjvtrtdoWzUCrQohERW+u7prnY1G+4RyzrxNjEer1+QaeJQpDvCsK0Wi3ZKH0sBBdYK7M8xns4HIoCqOuD8T4OiPpKsViUMrGMgKVox6bzJE5PT9FoNEQULJVKQqVTqRTu3LmDbDYrJ50NBgPZmEwmI0drUFGl7qWpHDduMBiIOKMVXCIrfRbMDaFx4eTkBF/5ylckunl7exu3b9/GysoKlpeXpRwpaxBQxqeukk6npV9a4ija0syqqSpTDYigNO/SpMzIBYaa7O7u4pvf/KZU52GNOebuswiIthxxv3x/dvL1vXv38OjRIzSbTaRSKfHd7O7uhk4coyjWaDTQbDYlp4n5RVoUM/VLIgoJQBSAa/2I1tLRaCQFHLXz0qan0Gj1sRGGAEAxhJhLKmYuKoGOQEjKTKDn/dqRR7l5OByKR/zs7Ey4Gg9lAmZmbsaGdbtdHB8fix1+MplI6Z+rV69ic3NTUo41pSOn3Nrawu7ubijClpvHzSLiJ5NJ4XAkCBRjaO5lTTNGHFBpbjQaaLVaePz4MfL5PMrlstQmJhHiputoXSJDs9kU6xMVeG0A2NvbAzDTCTc2NuRcG3JTEgNa5SqVitSp5iljvK4dz1wHAiM5eaPRwLe//W3cu3dPEOvGjRvw/VkEO5/RotjR0REajYbEFJITMZOTde0IvHyWRJZ/2rXBNeP4SUS02RkArl27hkqlIvfYlHqNpPNaLMJo9kgAJ7ATaXif5jakCJw4k8dImTX3YIgF+9FAys2i6HN2diaJXDrCQKdCd7vdUGlYWuJarRb29/cF8Bj/xTguioCayxA4GSfFT4pNXB/K+Sw7RC+0BhoaCFhUg2JWoVBArVYL5R0ROJjPQwKiLZKkpO12+wIVJVUnpddWTgJ1tVoNOTDNiGNtwKFOenh4iP39fTx69AiOMwtuLZVK4hbQXnm+r9frodFoyD6Vy2V0Oh0R933fF25IyYVwYTbNCYg4mgNSnOaa7+7uClGg5ZJ7a/a7CHcB5iAMRRN2op1D9CkQs7VHlgDO55mRJy8NNoe6DNkzAMmf105PWuO4IazdTIpXKBRET2IJ00RiVipofX1d5Pl+vy+F+2iKZNqx9rxzQxzHkcgDbRamMsr7qBcRYahz6Vg6EhUCOolHpVIJJUxRz+GaErio25GQ0B9EvZFWMBoYAIjIaSLMdDpL2KNjlM9zPkQ6IgsjJR49eoS9vT20Wi1UKhUJSmXEAddOIwuRmjphpVJBu90WEY+ckPPTHIQwpMUz/Ztp4aJOyr3qdDoSMU1rqO5XI8t3RYch1SIgka1xUgTSdDottcMoE9OXwoHQn8B+ObBEYlaMjwtOoGTfBBBGJDNPhU5CbjrFFppXOUYeZ7GysoJqtYoPP/xQ8mBWV1exsrICAJK9SeekHiuNHFpUoEOQ89eRtqenp3KYEzdLj5+WOFLfnZ0dMWVXq1Xx59TrdUmb4PpQPCUikkp3u108ePBAcvF14Ke2zukYLSKXDookcSBhY3H3d999VyyFL7/8MiqVygWHIokJfTM8r2c4HIrTdDqdot1ui8+O+UdcPy2WEqC10UgjJu/nWozHY5yenoasfAcHB3DdWWkoTchtiDMPWeYiDIvskULRwaidTeQA2WxW5HYd+0Rxi6INJ6qbpujUYdh4rw4kJDIwI5LFKjRi9ft9GQfrn926dQvlchmHh4fY29vDs2fPhKIXi0XcuHFDnIV7e3vC1aJkX16bTqcCpLRwUVygPK1l8Xq9DgAhMY+JaDwCkcCuz5ak1UwXMiQSaADTCjA5GbkOkYOma22d4hgYz8a8nLOzMymxq6MM2Iho1Dd5/Dj1PTpr8/m8pD+YHMJU4gk/zJUhDJiOTiILx8A90xEjtLRev35dxm7qLLrfuDykhRGGQKwVY+3EpPOJ7JC/US9gP/SBaEeeFs8YvcxBE8i4oKQqpJr5fF5ELVIq9kdApFLLDD76fyhqsD4ATc/FYhFLS0uiP+hIWw2YWiTjomtFVJvSNZHQc6NORsSj6EakZ9ApzdHUfbTlT/t4KLYxTYLftTWK5nmKoUQQRkuTm9LpCCDkS9Icj8jGBLHBYCCIwrWj3kgOSZGWEgThiXAT5Ww0m7asaTFNOzxJsA4ODrC1tRXyU9nax+Yw2oRJoOamsFExJ4JQZyFwU4HVVEzntRPRaELUlhJt8qX4QwcmxbBisQjf90MJWFxQ1kQjcLLCDH0BDx48wPHxsZiq6SVeW1uTkJrBYCAbbWPh2pFLwNPUmGPSogORu1gsinxNU7bmbBRhNJcCzuPJOF6a/olIRCa9dsB5BDodrlrH0WKnNulqX40mXlo3YklfIpnWORm9znu55wzXIVfkPZrYaEMT91zDnU3v4Ni0O+Dw8FDcBNpYwKbjIePa3GLk7NikZDQAcDEplmidhwMhohFoGAXL9FZa1LR+pJOpqFTqRSQy0MFH5ZSmZp0+rBGMc6hUKrh79y42NjZwenqKR48e4d69e3J4abFYlGIb9K3QIUeOotdHLzidaJwbRSfqNHQATyYTnJycSME7ItDGxoas92g0wuHhYejAJwIWANFpiBQaoLSplvPXwK9DTLTYE+Us1FYo+nfokKTITnM4pQBmpXLtAEhJLFo7bYjI75rgEX60OKf9K/r7dDoVTkyxlZEQ1Wo1tHds85AFWCCWzNYpqZFmp/RWU4ZvNpvyDEMhNJs2PfuU/03Eox+IiKpDNTRgEnFOTk6EitEJSvmWjj8NENQHGNZxfHwslqmdnR0Rg1j0nDoO4+A0ldPApfUyUmICBoGAAKlFkWaziWfPnolIxZgrhvgwLYIVPHVQqeaA2rrEpsVgmo21D4KECwhHCHOfiCg0WVNUpTWP+g/nwwo9DJOhhKADJHUSGt+lxV2G7Eyn01DCGEVus2nLnq5R57ou2u02qtWqWGW1HqPnGNdiESZqA9i5DpcnoJOK6kgAUk8dJ6SRTlMYJpPp+wnkvEcvmjZJMl+EopE2V7NvvagcK2Xsra0tAShGSHNu5BR8jrFYuraaXiNz3bieRCBNNTXF1/Mlcmiko7OTIi2PCeF1baQwRRbOw/Ska06jEYxcTFN+rVyToFFk1aFSuigiiacWr0kkKcab5mS+lyZ0GikYZ8jxmGPW89N9uq4rHJHp8VHtuc3KGmEAhABX57fogXIhdPlXvUicMBVMWsaA82IMut4xdROt2Gmk1JScXIbHWgAILbBeZC160Kd05coVMQownJ8cpdFoSPHyarWK5eVlyflotVpyjKBt8U29Ryul/I1ISMuVRoDT01PpI5VKYXV1Faurq7hy5Qo2NjaE42rkJWBrvYQ+CpusrrkRpQgSNZ36zLHRIkaRTMMKxR6dNk5k4Xrkcjkxt/d6PYEbvU4AhBtq3TCqmeZobZmkeEu3g64+wzlrLhfVYhFGYz83kAMh1nOiVHIJiAysZL0thtYQ4Mn+uRDaW6+dZ6Ti3AjNfWgy5TOOMzvCnFagZrOJ9fX1EJchF9SBhtpQwfJPVKIPDg5wcnKCfr8vNn1GClQqFaytrWFra0titRhgqJVnzRH5qQGWIoT2bWnRhM+Qow4GA4m6pqm+3+9L9ia5Juuf6aIiXDtyAq13aeeuqaeZyMMoAsIG55FIJMSg4nmzKA9txEkmZ2Vp19fXUa1WBel01SHutQ61IgGg3msSH66VRlzG5elYSKYYLC8vX/AhLdIWKuRnOpNoWaHyTXapWbw2b1KpJXKZDkAdrcuJ6u9amTPlVr6LYhgtRwAkf50IzTkB51HJ7IO/ZTIZMSL4vi8Iq52qNKNqkzXN0TRJ08yqve2mzMxPU4TSnI+mdCI5/TA0ujDymohK2X04HErGI2P2GBGhTcwUo4gEmgNpQsk/m+jHdSVgMopAP8/rtVoNy8vLoeJ+JCzkQKaFTpuLtetAI6ImfiSkJBhEMsIbubB2aSza5paK1eZT07PKyVFW1BjLCeuBkmposyV1Ic1qtUHBFHM0l9NAx3t1HBepJSmuRniKf3qeFBG1EYAATxGEG0I5XnMcIg51IsrLNKVHvdfkPJojaYDkJ9efSjb9H0RKIhpFWcdxRKTS4U06XIdj1WMxEYV7b4qZXAMGz7ruLBSJ+wxAEIknYTuOEzoekX3Z+uZ4iYAmwvBe00KrzfrmPTZzNNtz6zDEeAAS82MOkIuly+tojpRMJkWf0c9xc5PJpMjZ7GswGIQiabVCTQTTMi+vsy+GxzPwkv1oEZMLp511OnaNUbXUZ+hfoKiivdXM+uN8isUilpeXJRN0Op0Vo6P8zAxS2+aYnmy+i6JYu90OVdThsYP0aRAhTKVWiy1EXAIs/7SOoi2ANhFSAzNFPoq7rALKe/L5vFQurVar4jbgupu1k00di9c0HHBO5HRa/yI8MRyLRJoWOR1oazM0PDfCaHlSA10yeV7tQytWWvbWWE2RQjsS9eC4SAQ45pZTjKMpmpPmwpAicvJU8Ln5y8vLwsqbzSbq9Tp8fxbrtb+/j06nI31zHLTEULxi1HO5XJZSsqwOQ4TVIsx4PCsbyyhi6hLVahVLS0uifLI2QKfTQaPRCFmKNKWdTCYS4c1r2hpFcZbz1s5e88+0IFEUI7e0IbEJPNpIovsj5yPBohGGQZqMogDOT6/jWPU1LZqajmvg/Bh5U7TU+8B3mxEQvu+HHNF0qOr3zmtzo5W5SFpZ10o5uYspkrFxY7SewUA8TUm09UpvDseh/wg8pqmUlEsjLH0xej5EXC0qAbjgSDUNHazblc/nsb+/L1yHYyLic/EpKxMgKbawsESpVMLy8jLW19dlIxlfpim8aXrn2pCY8DdybptljpRWc3gaXHQokg1BgLBJmH0A5/GCOi2BYTyMf9PlZTX3okVSx+GRaGk4sBlNTKQmAdHrpiMGCF+8r91uSySLhmfbGug216ysdQkOQAOFTmE2F5mDINBxsczN02zYFCU0tbXJt/o730FgYhyTlr21QkmuRyRhOjA3T1OwyWQimY+sL8B8eU21zfFSx2DaAY0etCRpIwEje5lBShFY5xBpk3QiET63xRRftQ6q94Nj1XFjer1NXZTv0khLwpRIJMRzz/+LxSJqtZr4xbiGRFQN0BR9KYUQYbSopPUy0zhCXxWJnrbu6TFrh/d0Ogs3Wl1dFSTS/T83wmjuoOPCtIxMqqmBVlM1bgwBVCvoQFiJpQVE2+tNv4TmZqRuOjiSugide7pwBheFwMqaVtQ7dKlXjo+Ksab6iURCyiFpMzILChLI9ToQ+M/OznD//n1ZOx4TSN8O9RMaHJj1yjkyCpt96ixHjs0EfD0OAqxW5rWVShMUDXA6L4jWxHK5jFqtJqnaukKQtrJpvVEjAOev32Xqw6YUoZGGxJr6GIkkdU/N+QjP5GadTkfgpdfroVAoLGQtm1sq1sRODpgIoC0RJjUzbelcuG63K/4Oyu1aXNI6DheXIg6VWjPmyWb1IPJoykUEoUVHv0f7kcgdtChCwHVdV4IhSSEnk4lwHmZXasDlODhnIt9gMMDjx48lHIb+CF3tkoQhl8uhVqvJswCwvb0tgKnN87xOgOLYtZyuw1m4DzoKgxY0zRWov1y9ehUrKyuo1+tieCAS6zrO2oWg9VuuP6Pc+SxrN2t9RBPIKOMD15Rz57tpkaT5n63f70uNNz3GeW0uhzEHR4DUFiVTxtRASPFBm1L7/b5QczOawDSrmk4pArEWmbSYpm33plcfgACtKXIRoNgHkdjcMH6nT0OLQwwT0QinDQqaA2vxVm+uPgXBjDimJYzvI4XWY9aiDEVcDXjaQMG106ZuzX20lUyLUPV6Hdvb2xL5Tesjze/0W2luoPeM8yB30cYl/b8NiE1Y0+qAdo6aIp0WzTjH09NT5HI5MRYt0hZGGL5Ys3rNWcx7TeWUVV7IPrWSabJcDeCcqKnU6c3X70qn0yEHow2ANAIAEBOn7k87OslFtYhSrVZDUQk0LjDbM5FISEUXmqA10mmOrNdC+wm0XsQ/XWiQHEhbjbS/hgRD76U259JaxKBY05zLMRIgyeFu3ryJK1euCLfX6QJanzAJjUYWpmNrCyzXmOPVxgy9j1rP0FKB9q9o/ZZOXxI4Ivfx8TGq1arUJNCia1SLRRhtcTInRjmbm6TFKnIG7aHWfhhOkPqIDuI0FX+NPKTGpo6kLTC0HLFPrQNxITV1oh+BsUXcMFJZvotAyUOmut1uyJ+QSMwCIVdWVqQizcnJiRwGxPpjmqNo6q0JhOaCnDcbdSVWuTQ5tOZiplVJA5oJFHrPTAWYet+dO3ewsbEhlXto0dMF37XVEIBwSjNEhe4JEjktXnHupuTB/kyjBN+huaYpfhJOuD7USR1nFrGuYx6fG2G09UBbJrS+YS60btrCQouU7/uhNGTm/2uRQlMULcqYHMZcWBNICNhcUK1DaMVcA4YWMzUwan2G70okEmKaJgdlvYFr166hWq2iWq3iwYMHkpbM3BpN6UwPuiYIJoBr65epqJv3myK1KTLrvdHBrPTP0MpYqVTwyiuvSAknOjrJnbQTl3tKhZwiJHUz7j33lco2n6UUoudkIohJSOgfNK1vJnJphCDcaZ+QTbUw21yRjJuggVYDXZQZTlMMijWk2qTMpi5ivhcIGw40dTYBxQQKvlvHPWkE4cKYAKnHY1Jrfmr/EzeXCz8ej6V8EjeSofAUeVgJn1YwW3oA10ArsvwjhaZjlQYRJuYROGiUINGjRY3zNEVNraTTcsizd3jqGy11dLxyL6jT8p3asKJFYf2n10eLrJoomOKYDc74bnNPtXVOExmuH2MNuf6mDmhrczMudQyYxliKA3yR3mzew8FRLKOcS6sS2TLPeDcXzUQYAqv2EpuLpIGbVhFdjVMficA+OBe9qTYRxXHOfUl8Fy1amts4jiPlYVki9v79+xJ7trW1JeZMlnLVSMvNJnByzqT8yWQS1WoVN2/eRLFYlJrF77//PnzfF2DN5XJYX18XMXJvb0/Grt0BAKR2GkWrbDaLGzduYGNjAxsbG5IkRhGMxTscx5GihPq9AMSy5/u+OFi17kHTL8V17bzkPpihL5pjED7IzYhg1Km4d5ynJsSsIMOoC0ZhzGtz7zDZlJ60poKkIlpxIxXTNnECllZUGS6iY9A0J9CUntTUVKC1SKULV+gsxXa7Dc/zpJAEAcX0GRBxTE6mrS9EMnIObhiB3PdnOR+5XA4rKyvIZrM4PT3F4eEhDg4OxEp09+7dEDHR8xyPZ4X8jo+PRQxKJBLY3t7GnTt38PnPfx6ZTEYqYLKgRrVaRblcligGnln5jW98A48ePZIC7jprkgo7axJ/+tOfFhM2x0BjAefM99Tr9ZADlAUUuaaZTCaUYFapVCSSmEdmMIyI+01ipYkTmzaWEKYIT6YxiUGz9OprgxU5/fHxMa5evXqh/0sjDE/PMq0n7NSmOJpWFuDcBs4oYh7Uoy1BGgA1ezUtSpqzaTaqWa9GQi48Pf60bHmeJzZ/bd4lQvIe9mFGPZgWJI6NSEsfC5GXHnEWyNb+K3INWyh6rVYTBymPl7h27RpeeOEFXLt2DblcDktLS2Lp6fV6okflcjk8fvwYqVQKS0tLuHv3rqQAEJhoREmlUnIezurqKgqFAk5PTyVHhmnf1Dvo6NVFF01Ri0hIQqJ1WO4x69fpKGo2rUNqCcImihPGtKdfcxTOl+Ok1EOE1bAYJ5bNPbKPgKP1D61w2xDGVEA5QE7IZjrkMzQGmLqIaUfXSMx7tE9EI4JGGubAs3SpDiLUBg6bH4JWFVIqbYnRiE2E0eIbkZMWGSqnDJXhptOaxL645ox0dhxHChDySECG9HS7XTk7FDi3KHHu29vbuHfvnqQMm0YWfSBUv99Hq9US4sF1osWrUqmE6jDQGknuqPVOWhLphacIy2saRsymfUhR+jTnoUNqzL3TyKf3iYYLbYG1+X8WQhg9Ad/3pR4uZUJt4tWiikYaXtfVUijrc2JajOPimvIs79Xv0FY6TYk4bsqytIrQWcqaXAwEpQVHK/t8l154bQ0ihwPOrTQ0kZJrcDwEOgIRQ3Zc1xXxRKc584gOWptWV1clVTqTyWBpaQmVSkUKZFDEbbfb2N3dRbvdxunpKXZ2dkTHAoDl5WUR23K5XKhCaLlcxrVr1zAcDuWQJB5gRX1Mc3oCOxG6UqmEEtd0mBGNG77vh8ZDnYwEzmbW1SIW32veR3GZOjElA+A8a5i6s5YItGVQFyYxjVAhnIhGl3MfBjG0XC5foN42DNasTQM9uUy9Xkej0QAAqYDPCZZKJYkEIKUn4lGm1eKT2T+/k4JQ3mbYCCOlU6mUUFDtTCP1Y+4E56J9RdxsHY+lgU+bUh3HkdO9NMfw/Vk4/sHBAVZWVkS8YTQzRbpOpyPiFUW2yWSW8anNuKVSCWtra3L+i66OM5lMpKAHjQj5fF5OG6AIy9MMAODOnTsolUryTLvdluqXXFPOiSFLJA6aa1D0omjGPnSVSqZPmyI911tHYGipRnMfEi2tPzNMh7BB65223FIs+9a3voXbt2+jVqvJ/l0aYTR11/4JAmSUKVRPyhStCKy0jHGx9cLadBSbyc8U+zTLJtDriFzqIQzRn0wm4nSjiEeRiIuvKY6mciYx0OEtetzaEQmEK4eSA/LIDsZjkYpms9mQlYzjpyn55OQkZA0k99CmWgCCYORQ5XJZnqNoxLoL1El835d4OVrlWDmUBJJSABFE6xfaZ8VARxIDAGLO1SKWCTf6j830LZmwpcV2jlOLzYQ//T2RSODo6Ajb29tCuKLaQghjo942oNXN/E0DNIFBUzwCFxdQizymqVq/w1xArddoXwn1CeoNDNOnP4SAruOoSPk4f+3j0ISA8wPOlUt9FB0RwRy/jr/SVJZOUiIu7x2NRiFT+ZMnTzAcDiVSmNHetEiSm2mEASAIpeu29Xo9OcMHgASQcp2Wl5elL9P0S2LDvdNcy/d9iYpg6SWukVn0XcON/jSjNDRsmXoypRBtTDJ9UxpBCQ+swcB3RbW5CWTaD6LDVDTgcME0IGnzMKkSJ6wBKJFIoN1uCyDos05MsUtTN1JGvYD6Hi3X8j4d+k8uB0AccVwwHRNFKmymFWhk1htH4Nb3Enj1PbSa8Zq2zvB0NIpoXI98Pi9HbT9+/BjvvvsuarUaVlZWUCqVkEwmQ8Cpda5Op4Nnz56h2WwK8hwcHEhMVyaTkVOPqdRvbGwIkLvuecxYu92+UO6o1+sJrNB7Tx/H/v4+NjY2UKvVJLSeljfqlzZkYNNE0RTDTaMOdRYSI8KaGafG92ljgXZyR7W5CWQAQjKkFo20HqND8m2sVFs6tIhFgBsOhxcWwbS926xZ2ompqZ4GTIbl6D+KZvSWp9NpSdyiiEb52TwXh/PVIpfmgAyPJ6LpwD/NwUzREzgPx+d1chX9XirYnU4H9+/fx+HhIcrlMpaXl8WQwWM8uCej0QjvvvsuhsMh0uk0tra2pCAF9TcSPC1mawJIvYNHm+ggSz1XYIb0TAWn76VSqcDzvFBdZx1TpgmgaeXiGPQ+a2lCGyO4zjpd2qb/aLiir05nsF4aYUyWqR1EZlwVJ6SbaV7mJmhk4D2dTkfMrtpZaDbTGmcipfl+mwWGi0puo2uU0YNNTsNmzl1TOc01+T2KtRMwtMhJowIVUzNy2EzAozGG46GztN1uy7j14bm0aPEgI3INHflcLBYBnKc6cAyu6woQ0fxKrsu90GIjoyqOj4+lHjUduPTN6BwcHW3MZiKNuX428VzDEtdXZ63yf663hl2Kv5RebHDHFoswzCQkZpOCMBTBLM5gTs7kNlq0MifP8BAijV4Q8xk9KdOXw/fq+8kFtKhHfYYbRoDn/TqaVc9HRxJraqdFFAYommvApjkLgUaLECbnpAWR79YWx0qlIkBBHaXdbgvS0xI1nU7R6XQEMbSIAiCUFsF1pfijMy1dN3xinH6WFJqHU3U6HQyHQ2xsbAghpOmZ4qKWWjSB1Uq73lvd9P1aHCcB4niop+rT1riO5D46TCiuzT12nJNjfJE+OltX9Nd6CaluFOcxWSmP9+52u+h0Orh69SqKxWKoH3I4rQCymbqBRiICF3BOPbU+w2dI3VOpVMivoR2lpOoEaIpaJscpl8shi5cWIQkERBDHcUTPGg6H2N/fF6ShSEFOR2We60eOo/uqVqtiIavVanjw4AFarRYGg0EoMpqngnGNaHzhny4IQm7CNTXFSfpZWOX0+PhYShxls1lcuXLlQq04riXnYIrafIdumihrBNHj4ieRhGE5LG2lraDcP+69aXiwtbnh/RpgTX8EqSOBiBirzcumaKWBXz9Tr9fhOA4ajYZQKx1drJ2Wuk+TgmtkNN9HYNP6ibb0EHlogHAcR+Rt+jUIcBRDOH9taOC4SLFtooUWuQBcyAnRuh2B5+zsLKSckoNQjBwOhxJEmEwmsbGxgbOzM5TLZTnZjA7PWq0m5z/yft20JclxnNC+0+FICs5ENDpXSclZj2xpaUlEOx1kq7mcjbjoPdefGpbMT22t47hZGZT7pKUMfTAV9+W7gjAcjKnomdTdJnIRCOImzWJ59Hgnk0mJerXJqos0bUCgWKkVW01RTQTTkQGO40ggo0nhzHlSVNNhIzpEX39yPfh+HWlgIjIBFTgPW9f+I+op2kTO6yQCzJhklqFWuPXaRukJHAP1GfrRdMkq6g0spri6uop0Oi336hx7rbvYODHfaX439VZTmeea6QhmbWjR0gnXWTvp49rcjEttmdJski+yKfWcgF6QOLOh67oSvcvoW+3kMnWTKA6jxUBz3OQw2tOuFXBSJT6no6spXplIo99vyuJa1wHO0yS0mKFFCi1Caq7IZ3m/GXHAezlPntA8nU5xcHAgHJv9MnKZoS6aA2ppQo+djffSyKDTnXW8mO/7Uj5qY2MDvn9+fCJFRyKMjgA39Sfbvs5rej+ZWqCRUu+b1mW1iyQOaRx/Hkp90j5pnzRp8elln7RP2ict1D5BmE/aJ+0S7ROE+aR90i7RPkGYT9on7RLtE4T5pH3SLtE+QZhP2iftEu3/Cwj0KT5Od4+AAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.imshow(test_image, cmap='gray')\n",
    "ax.axis('off')\n",
    "\n",
    "Ni, Nj = positive_patches[0].shape\n",
    "indices = np.array(indices)\n",
    "\n",
    "for i, j in indices[labels == 1]:\n",
    "    ax.add_patch(plt.Rectangle((j, i), Nj, Ni, edgecolor='red',\n",
    "                               alpha=0.3, lw=2, facecolor='none'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All of the detected patches overlap and found the face in the image!\n",
    "Not bad for a few lines of Python."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Caveats and Improvements\n",
    "\n",
    "If you dig a bit deeper into the preceding code and examples, you'll see that we still have a bit of work to do before we can claim a production-ready face detector.\n",
    "There are several issues with what we've done, and several improvements that could be made. In particular:\n",
    "\n",
    "**Our training set, especially for negative features, is not very complete**\n",
    "\n",
    "The central issue is that there are many face-like textures that are not in the training set, and so our current model is very prone to false positives.\n",
    "You can see this if you try out the algorithm on the *full* astronaut image: the current model leads to many false detections in other regions of the image.\n",
    "\n",
    "We might imagine addressing this by adding a wider variety of images to the negative training set, and this would probably yield some improvement.\n",
    "Another option would be to use a more directed approach, such as *hard negative mining*, where we take a new set of images that our classifier has not seen, find all the patches representing false positives, and explicitly add them as negative instances in the training set before retraining the classifier.\n",
    "\n",
    "**Our current pipeline searches only at one scale**\n",
    "\n",
    "As currently written, our algorithm will miss faces that are not approximately 62 × 47 pixels.\n",
    "This can be straightforwardly addressed by using sliding windows of a variety of sizes, and resizing each patch using `skimage.transform.resize` before feeding it into the model.\n",
    "In fact, the `sliding_window` utility used here is already built with this in mind.\n",
    "\n",
    "**We should combine overlapped detection patches**\n",
    "\n",
    "For a production-ready pipeline, we would prefer not to have 30 detections of the same face, but to somehow reduce overlapping groups of detections down to a single detection.\n",
    "This could be done via an unsupervised clustering approach (mean shift clustering is one good candidate for this), or via a procedural approach such as *non-maximum suppression*, an algorithm common in machine vision.\n",
    "\n",
    "**The pipeline should be streamlined**\n",
    "\n",
    "Once we address the preceding issues, it would also be nice to create a more streamlined pipeline for ingesting training images and predicting sliding-window outputs.\n",
    "This is where Python as a data science tool really shines: with a bit of work, we could take our prototype code and package it with a well-designed object-oriented API that gives the user the ability to use it easily.\n",
    "I will leave this as a proverbial \"exercise for the reader.\"\n",
    "\n",
    "**More recent advances: deep learning**\n",
    "\n",
    "Finally, I should add that in machine learning contexts, HOG and other procedural feature extraction methods are not always used.\n",
    "Instead, many modern object detection pipelines use variants of deep neural networks (often referred to as *deep learning*): one way to think of neural networks is as estimators that determine optimal feature extraction strategies from the data, rather than relying on the intuition of the user.\n",
    "\n",
    "Though the field has produced fantastic results in recent years, deep learning is not all that conceptually different from the machine learning models explored in the previous chapters.\n",
    "The main advance is the ability to utilize modern computing hardware (often large clusters of powerful machines) to train much more flexible models on much larger corpuses of training data.\n",
    "But though the scale differs, the end goal is very much the same the same: building models from data.\n",
    "\n",
    "If you're interested in going further, the list of references in the following section should provide a useful place to start!"
   ]
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